build_slug stringlengths 16 55 | build_title stringlengths 16 117 | gpus stringlengths 8 106 | vram_gb float64 0 512 ⌀ | cpu stringclasses 53
values | ram stringclasses 33
values | power stringclasses 24
values | model stringclasses 48
values | quant stringlengths 2 62 ⌀ | engine stringlengths 3 85 ⌀ | tps stringlengths 1 9 | spec_decode stringclasses 6
values | prefill_tps float64 290 3.84k ⌀ | context stringclasses 11
values | how_measured stringclasses 24
values | status stringclasses 1
value | source_checked_by_rigbase stringclasses 2
values | source stringlengths 18 111 | page_url stringlengths 47 86 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dual-3090-ryzen-3700x | Dual RTX 3090 on Ryzen 3700X (X470) | 2x Zotac RTX 3090 | 48 | AMD Ryzen 7 3700X | 48 GB DDR4 | GPU power limit 270 W each | Llama 3 70B | Q4_K_M | Ollama | 16.95 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1d5vxe7/so_i_bought_second_3090_here_are_my_results_llama/ | https://getrigbase.com/builds/dual-3090-ryzen-3700x/ |
dual-3090-ryzen-3700x | Dual RTX 3090 on Ryzen 3700X (X470) | 2x Zotac RTX 3090 | 48 | AMD Ryzen 7 3700X | 48 GB DDR4 | GPU power limit 270 W each | Llama 3 70B | AWQ 4-bit | vLLM (TP=2) | 21.2 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1d5vxe7/so_i_bought_second_3090_here_are_my_results_llama/ | https://getrigbase.com/builds/dual-3090-ryzen-3700x/ |
dual-3090-2000-eur-exllamav2 | Dual used RTX 3090, ~2000 EUR total | 2x RTX 3090 (used) | 48 | null | null | GPU power limit 275 W | Llama 3.3 70B | null | ExLlamaV2 (TP) | 20 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1hdpvpt/llama_33_speed/ | https://getrigbase.com/builds/dual-3090-2000-eur-exllamav2/ |
mac-studio-64gb-llama33 | Mac Studio 64 GB | Apple unified memory | 64 | Apple Silicon (Mac Studio) | 64 GB unified | null | Llama 3.3 70B | Q4 | null | 11 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1hdpvpt/llama_33_speed/ | https://getrigbase.com/builds/mac-studio-64gb-llama33/ |
3090-plus-4060ti-16gb | RTX 3090 + RTX 4060 Ti 16GB mixed pair | RTX 3090 + RTX 4060 Ti 16GB | 40 | null | null | null | Llama 3.3 70B | IQ4_XS | null | 11 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1hdpvpt/llama_33_speed/ | https://getrigbase.com/builds/3090-plus-4060ti-16gb/ |
single-4060ti-16gb-64gb-ram | Single RTX 4060 Ti 16GB + 64 GB RAM (partial offload) | RTX 4060 Ti 16GB | 16 | null | 64 GB | null | Llama 3.3 70B | Q5_K_M | LM Studio / Kobold | 1.5 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1hdpvpt/llama_33_speed/ | https://getrigbase.com/builds/single-4060ti-16gb-64gb-ram/ |
rtx-4090-llamacpp-cuda | Single RTX 4090 (llama.cpp CUDA scoreboard) | RTX 4090 24GB | 24 | null | null | null | Llama 2 7B | Q4_0 | llama.cpp CUDA (FA) | 188.96 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15013 | https://getrigbase.com/builds/rtx-4090-llamacpp-cuda/ |
rtx-4090-koboldcpp-comparison | RTX 4090 desktop (speed comparison vs Macs) | RTX 4090 24GB | 24 | null | null | null | Llama 3.1 8B | Q8 | llama.cpp-based | 52.99 | none | null | null | null | null | yes | https://www.someoddcodeguy.dev/low-context-speed-comparison-macbook-mac-studios-and-rtx-4090/ | https://getrigbase.com/builds/rtx-4090-koboldcpp-comparison/ |
rtx-4090-koboldcpp-comparison | RTX 4090 desktop (speed comparison vs Macs) | RTX 4090 24GB | 24 | null | null | null | Mistral Small 22B | Q6_K | llama.cpp-based | 26.72 | none | null | null | null | null | yes | https://www.someoddcodeguy.dev/low-context-speed-comparison-macbook-mac-studios-and-rtx-4090/ | https://getrigbase.com/builds/rtx-4090-koboldcpp-comparison/ |
m2-ultra-76c-192gb | Mac Studio M2 Ultra 76-core GPU, 192 GB | Apple M2 Ultra 76-core GPU | 192 | Apple M2 Ultra (16+8 CPU) | 192 GB unified | null | Llama 2 7B | Q4_0 | llama.cpp Metal (FA, Aug 2026 build) | 125.21 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/4167 | https://getrigbase.com/builds/m2-ultra-76c-192gb/ |
m2-ultra-76c-192gb | Mac Studio M2 Ultra 76-core GPU, 192 GB | Apple M2 Ultra 76-core GPU | 192 | Apple M2 Ultra (16+8 CPU) | 192 GB unified | null | gpt-oss 20B | MXFP4 | llama.cpp | 116.08 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/4167 | https://getrigbase.com/builds/m2-ultra-76c-192gb/ |
m2-ultra-76c-192gb | Mac Studio M2 Ultra 76-core GPU, 192 GB | Apple M2 Ultra 76-core GPU | 192 | Apple M2 Ultra (16+8 CPU) | 192 GB unified | null | gpt-oss 120B | MXFP4 | llama.cpp | 79.68 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/4167 | https://getrigbase.com/builds/m2-ultra-76c-192gb/ |
macbook-pro-m2-max | MacBook Pro M2 Max | Apple M2 Max | null | Apple M2 Max | null | null | Llama 3.1 8B | Q8 | llama.cpp-based | 28.92 | none | null | null | null | null | yes | https://www.someoddcodeguy.dev/low-context-speed-comparison-macbook-mac-studios-and-rtx-4090/ | https://getrigbase.com/builds/macbook-pro-m2-max/ |
mac-studio-m1-ultra | Mac Studio M1 Ultra | Apple M1 Ultra | null | Apple M1 Ultra | null | null | Llama 3.1 8B | Q8 | llama.cpp-based | 37.92 | none | null | null | null | null | yes | https://www.someoddcodeguy.dev/low-context-speed-comparison-macbook-mac-studios-and-rtx-4090/ | https://getrigbase.com/builds/mac-studio-m1-ultra/ |
macbook-m3-max-40c-64gb | MacBook Pro M3 Max 40-core GPU, 64 GB | Apple M3 Max 40-core GPU | 64 | Apple M3 Max | 64 GB unified | null | Llama 3 8B | Q4_K_M | llama.cpp | 50.74 | none | null | null | null | null | yes | https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference | https://getrigbase.com/builds/macbook-m3-max-40c-64gb/ |
macbook-m1-max-32c-64gb | MacBook Pro M1 Max 32-core GPU, 64 GB | Apple M1 Max 32-core GPU | 64 | Apple M1 Max | 64 GB unified | null | Llama 3 8B | Q4_K_M | llama.cpp | 34.49 | none | null | null | null | null | yes | https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference | https://getrigbase.com/builds/macbook-m1-max-32c-64gb/ |
epyc-512gb-cpu-only-deepseek | $2K EPYC 64-core, 512 GB DDR4, CPU-only | None (CPU inference) | 0 | AMD EPYC 64-core (7702 / 7C13 / 7V13) | 512 GB DDR4 | null | DeepSeek R1 671B | Q4 | llama.cpp (bare metal Ubuntu 24) | 4.31 | none | null | null | null | null | yes | https://www.youtube.com/watch?v=Tq_cmN4j2yY | https://getrigbase.com/builds/epyc-512gb-cpu-only-deepseek/ |
m3-ultra-512gb-deepseek | Mac Studio M3 Ultra, 512 GB | Apple M3 Ultra | 512 | Apple M3 Ultra | 512 GB unified | null | DeepSeek R1 671B | Q4 | MLX | 18.43 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1j9vjf1/deepseek_r1_671b_q4_m3_ultra_512gb_with_mlx/ | https://getrigbase.com/builds/m3-ultra-512gb-deepseek/ |
framework-desktop-strix-halo | Framework Desktop (AMD Strix Halo) mainboard | AMD Ryzen AI Max+ 395 (Radeon 8060S iGPU; Ollama runs CPU only, llama.cpp runs on iGPU via Vulkan) | null | AMD Ryzen AI Max (Strix Halo) | null | ~141 W during Ollama CPU runs; ~133 W during llama.cpp Vulkan iGPU runs (Llama 3.2 3B, Llama 3.1 70B) | DeepSeek R1 Distill 8B | Ollama default | Ollama (CPU only, iGPU not used) | 19.49 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/21 | https://getrigbase.com/builds/framework-desktop-strix-halo/ |
framework-desktop-strix-halo | Framework Desktop (AMD Strix Halo) mainboard | AMD Ryzen AI Max+ 395 (Radeon 8060S iGPU; Ollama runs CPU only, llama.cpp runs on iGPU via Vulkan) | null | AMD Ryzen AI Max (Strix Halo) | null | ~141 W during Ollama CPU runs; ~133 W during llama.cpp Vulkan iGPU runs (Llama 3.2 3B, Llama 3.1 70B) | DeepSeek R1 Distill 70B | Ollama default | Ollama (CPU only, iGPU not used) | 2.43 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/21 | https://getrigbase.com/builds/framework-desktop-strix-halo/ |
framework-desktop-strix-halo | Framework Desktop (AMD Strix Halo) mainboard | AMD Ryzen AI Max+ 395 (Radeon 8060S iGPU; Ollama runs CPU only, llama.cpp runs on iGPU via Vulkan) | null | AMD Ryzen AI Max (Strix Halo) | null | ~141 W during Ollama CPU runs; ~133 W during llama.cpp Vulkan iGPU runs (Llama 3.2 3B, Llama 3.1 70B) | Llama 3.1 70B | Q4_K_M | llama.cpp Vulkan (iGPU, llama-bench tg128) | 4.97 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/21 | https://getrigbase.com/builds/framework-desktop-strix-halo/ |
framework-desktop-strix-halo | Framework Desktop (AMD Strix Halo) mainboard | AMD Ryzen AI Max+ 395 (Radeon 8060S iGPU; Ollama runs CPU only, llama.cpp runs on iGPU via Vulkan) | null | AMD Ryzen AI Max (Strix Halo) | null | ~141 W during Ollama CPU runs; ~133 W during llama.cpp Vulkan iGPU runs (Llama 3.2 3B, Llama 3.1 70B) | Llama 3.2 3B | Q4_K_M | llama.cpp Vulkan (iGPU, llama-bench tg128) | 88.14 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/21 | https://getrigbase.com/builds/framework-desktop-strix-halo/ |
4x3090-tr32-192gb-qwen3-235b | 4x RTX 3090 + 32-core Threadripper, 192 GB DDR4 | 4x RTX 3090 | 96 | AMD Threadripper 32-core | 192 GB DDR4 | null | Qwen3 235B-A22B | UD-Q3_K_XL | llama.cpp | 12-14 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1khmaah/5_commands_to_run_qwen3235ba22b_q3_inference_on/ | https://getrigbase.com/builds/4x3090-tr32-192gb-qwen3-235b/ |
4x3090-epyc-7443-256gb | 4x RTX 3090 + EPYC 7443, 256 GB DDR4 8-channel | 4x RTX 3090 | 96 | AMD EPYC 7443 (24 cores) | 256 GB DDR4 3200 (8 channel) | null | Qwen3 235B-A22B | IQ4_XS | llama.cpp | 18 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1khmaah/5_commands_to_run_qwen3235ba22b_q3_inference_on/ | https://getrigbase.com/builds/4x3090-epyc-7443-256gb/ |
epyc-7f52-6gpu-136gb | EPYC 7F52 jank rig: 4x3090 + 4090 + 4080 (136 GB VRAM) | 4x RTX 3090, RTX 4090, RTX 4080 | 136 | AMD EPYC 7F52 | 32 GB RDIMM 3200 | null | Llama 3.1 70B | Q8_0 | Oobabooga | 9 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1fqwler/show_me_your_ai_rig/ | https://getrigbase.com/builds/epyc-7f52-6gpu-136gb/ |
epyc-plus-3090-deepseek-q2 | EPYC + single RTX 3090 (hybrid) | RTX 3090 | 24 | AMD EPYC | null | null | DeepSeek R1 671B | Q2_K | llama.cpp CUDA | 8.97 | none | null | null | null | null | no | https://www.reddit.com/r/LocalLLaMA/comments/1j2c7b4/unsloth_ds_r1_222b_2_ts_on_dell_r730_cpu_help/ | https://getrigbase.com/builds/epyc-plus-3090-deepseek-q2/ |
intel-265k-rtx-4090 | Intel Core Ultra 265K + RTX 4090 | RTX 4090 | 24 | Intel Core Ultra 7 265K | null | Peak 509.1 W (gpt-oss 20B), 464.2 W (DeepSeek R1 14B) | gpt-oss 20B | null | llama.cpp | 279.65 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/43 | https://getrigbase.com/builds/intel-265k-rtx-4090/ |
intel-265k-rtx-4090 | Intel Core Ultra 265K + RTX 4090 | RTX 4090 | 24 | Intel Core Ultra 7 265K | null | Peak 509.1 W (gpt-oss 20B), 464.2 W (DeepSeek R1 14B) | DeepSeek R1 Distill 14B | null | llama.cpp | 92.49 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/43 | https://getrigbase.com/builds/intel-265k-rtx-4090/ |
intel-265k-rtx-4090 | Intel Core Ultra 265K + RTX 4090 | RTX 4090 | 24 | Intel Core Ultra 7 265K | null | Peak 509.1 W (gpt-oss 20B), 464.2 W (DeepSeek R1 14B) | Llama 3.2 3B | null | llama.cpp | 334.67 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/43 | https://getrigbase.com/builds/intel-265k-rtx-4090/ |
intel-265k-rtx-3080-ti | Intel Core Ultra 265K + RTX 3080 Ti | RTX 3080 Ti | 12 | Intel Core Ultra 7 265K | null | Peak 495 W | DeepSeek R1 Distill 14B | null | llama.cpp | 70.74 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/39 | https://getrigbase.com/builds/intel-265k-rtx-3080-ti/ |
intel-265k-rtx-3080-ti | Intel Core Ultra 265K + RTX 3080 Ti | RTX 3080 Ti | 12 | Intel Core Ultra 7 265K | null | Peak 495 W | Llama 3.2 3B | null | llama.cpp | 263.24 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/39 | https://getrigbase.com/builds/intel-265k-rtx-3080-ti/ |
intel-265k-radeon-ai-pro-r9700 | Intel Core Ultra 265K + Radeon AI Pro R9700 | AMD Radeon AI Pro R9700 | 32 | Intel Core Ultra 7 265K | null | Peak 332.9 W (gpt-oss 20B) | gpt-oss 20B | null | llama.cpp | 163.26 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/35 | https://getrigbase.com/builds/intel-265k-radeon-ai-pro-r9700/ |
intel-265k-radeon-ai-pro-r9700 | Intel Core Ultra 265K + Radeon AI Pro R9700 | AMD Radeon AI Pro R9700 | 32 | Intel Core Ultra 7 265K | null | Peak 332.9 W (gpt-oss 20B) | DeepSeek R1 Distill 14B | null | llama.cpp | 53.72 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/35 | https://getrigbase.com/builds/intel-265k-radeon-ai-pro-r9700/ |
intel-265k-radeon-ai-pro-r9700 | Intel Core Ultra 265K + Radeon AI Pro R9700 | AMD Radeon AI Pro R9700 | 32 | Intel Core Ultra 7 265K | null | Peak 332.9 W (gpt-oss 20B) | Llama 3.2 3B | null | llama.cpp | 195.91 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/35 | https://getrigbase.com/builds/intel-265k-radeon-ai-pro-r9700/ |
intel-265k-rtx-4070-ti | Intel Core Ultra 265K + RTX 4070 Ti | RTX 4070 Ti | 12 | Intel Core Ultra 7 265K | null | Peak 298.7 W (gpt-oss 20B) | gpt-oss 20B | null | llama.cpp | 163.14 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/45 | https://getrigbase.com/builds/intel-265k-rtx-4070-ti/ |
intel-265k-rtx-4070-ti | Intel Core Ultra 265K + RTX 4070 Ti | RTX 4070 Ti | 12 | Intel Core Ultra 7 265K | null | Peak 298.7 W (gpt-oss 20B) | DeepSeek R1 Distill 14B | null | llama.cpp | 49.74 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/45 | https://getrigbase.com/builds/intel-265k-rtx-4070-ti/ |
intel-265k-rtx-4070-ti | Intel Core Ultra 265K + RTX 4070 Ti | RTX 4070 Ti | 12 | Intel Core Ultra 7 265K | null | Peak 298.7 W (gpt-oss 20B) | Llama 3.2 3B | null | llama.cpp | 196.15 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/45 | https://getrigbase.com/builds/intel-265k-rtx-4070-ti/ |
intel-265k-rtx-2080-ti | Intel Core Ultra 265K + RTX 2080 Ti | RTX 2080 Ti | 11 | Intel Core Ultra 7 265K | null | Peak 307.8 W (DeepSeek R1 14B) | DeepSeek R1 Distill 14B | null | llama.cpp | 45.06 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/46 | https://getrigbase.com/builds/intel-265k-rtx-2080-ti/ |
intel-265k-rtx-2080-ti | Intel Core Ultra 265K + RTX 2080 Ti | RTX 2080 Ti | 11 | Intel Core Ultra 7 265K | null | Peak 307.8 W (DeepSeek R1 14B) | Llama 3.2 3B | null | llama.cpp | 180.38 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/46 | https://getrigbase.com/builds/intel-265k-rtx-2080-ti/ |
intel-265k-rtx-3060 | Intel Core Ultra 265K + RTX 3060 | RTX 3060 | 12 | Intel Core Ultra 7 265K | null | Peak 229.3 W (gpt-oss 20B) | gpt-oss 20B | null | llama.cpp | 83.96 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/40 | https://getrigbase.com/builds/intel-265k-rtx-3060/ |
intel-265k-rtx-3060 | Intel Core Ultra 265K + RTX 3060 | RTX 3060 | 12 | Intel Core Ultra 7 265K | null | Peak 229.3 W (gpt-oss 20B) | DeepSeek R1 Distill 14B | null | llama.cpp | 29.77 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/40 | https://getrigbase.com/builds/intel-265k-rtx-3060/ |
intel-265k-rtx-3060 | Intel Core Ultra 265K + RTX 3060 | RTX 3060 | 12 | Intel Core Ultra 7 265K | null | Peak 229.3 W (gpt-oss 20B) | Llama 3.2 3B | null | llama.cpp | 122.85 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/40 | https://getrigbase.com/builds/intel-265k-rtx-3060/ |
intel-265k-rtx-a4000 | Intel Core Ultra 265K + RTX A4000 | RTX A4000 | 16 | Intel Core Ultra 7 265K | null | Peak 199.4 W (gpt-oss 20B) | gpt-oss 20B | null | llama.cpp | 93.55 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/36 | https://getrigbase.com/builds/intel-265k-rtx-a4000/ |
intel-265k-rtx-a4000 | Intel Core Ultra 265K + RTX A4000 | RTX A4000 | 16 | Intel Core Ultra 7 265K | null | Peak 199.4 W (gpt-oss 20B) | Llama 3.2 3B | null | llama.cpp | 149.44 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/36 | https://getrigbase.com/builds/intel-265k-rtx-a4000/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | DeepSeek R1 671B | null | llama.cpp | 19.89 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | gpt-oss 20B | null | llama.cpp | 115.29 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | gpt-oss 20B | MXFP4 | llama.cpp (Metal, llama-bench) | 115.52 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | Llama 3.1 70B | null | llama.cpp | 14.08 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | Llama 3.1 405B | null | llama.cpp | 1.96 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | DeepSeek R1 Distill 14B | null | llama.cpp | 51.85 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m3-ultra-512gb-geerling | Mac Studio M3 Ultra 512GB (Geerling test) | Apple M3 Ultra (unified) | 512 | Apple M3 Ultra | null | Peak 261.8 W (DeepSeek R1 671B), 243 W (Llama 3.1 70B), 227 W (gpt-oss 20B), 223 W (Llama 3.2 3B) | Llama 3.2 3B | null | llama.cpp | 154.6 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/42 | https://getrigbase.com/builds/mac-studio-m3-ultra-512gb-geerling/ |
mac-studio-m1-ultra-64c-128gb | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra 64-core GPU (unified) | 128 | Apple M1 Ultra | null | null | gpt-oss 20B | null | llama.cpp | 100.43 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/48 | https://getrigbase.com/builds/mac-studio-m1-ultra-64c-128gb/ |
mac-studio-m1-ultra-64c-128gb | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra 64-core GPU (unified) | 128 | Apple M1 Ultra | null | null | DeepSeek R1 Distill 14B | null | llama.cpp | 41.51 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/48 | https://getrigbase.com/builds/mac-studio-m1-ultra-64c-128gb/ |
mac-studio-m1-ultra-64c-128gb | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra 64-core GPU (unified) | 128 | Apple M1 Ultra | null | null | Llama 3.1 70B | null | llama.cpp | 9.84 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/48 | https://getrigbase.com/builds/mac-studio-m1-ultra-64c-128gb/ |
mac-studio-m1-ultra-64c-128gb | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra 64-core GPU (unified) | 128 | Apple M1 Ultra | null | null | Llama 3.2 3B | null | llama.cpp | 127.6 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/48 | https://getrigbase.com/builds/mac-studio-m1-ultra-64c-128gb/ |
dell-pro-max-gb10-dgx-spark | Dell Pro Max with GB10 (Nvidia DGX Spark) | Nvidia GB10 (unified) | null | Nvidia GB10 | null | Peak 122.8 W (gpt-oss 20B), 128.5 W (Llama 3.2 3B), 156 W (Llama 3.1 70B) | gpt-oss 20B | null | llama.cpp | 87.97 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/34 | https://getrigbase.com/builds/dell-pro-max-gb10-dgx-spark/ |
dell-pro-max-gb10-dgx-spark | Dell Pro Max with GB10 (Nvidia DGX Spark) | Nvidia GB10 (unified) | null | Nvidia GB10 | null | Peak 122.8 W (gpt-oss 20B), 128.5 W (Llama 3.2 3B), 156 W (Llama 3.1 70B) | DeepSeek R1 Distill 14B | null | llama.cpp | 23.92 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/34 | https://getrigbase.com/builds/dell-pro-max-gb10-dgx-spark/ |
dell-pro-max-gb10-dgx-spark | Dell Pro Max with GB10 (Nvidia DGX Spark) | Nvidia GB10 (unified) | null | Nvidia GB10 | null | Peak 122.8 W (gpt-oss 20B), 128.5 W (Llama 3.2 3B), 156 W (Llama 3.1 70B) | Llama 3.1 70B | null | llama.cpp | 4.71 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/34 | https://getrigbase.com/builds/dell-pro-max-gb10-dgx-spark/ |
dell-pro-max-gb10-dgx-spark | Dell Pro Max with GB10 (Nvidia DGX Spark) | Nvidia GB10 (unified) | null | Nvidia GB10 | null | Peak 122.8 W (gpt-oss 20B), 128.5 W (Llama 3.2 3B), 156 W (Llama 3.1 70B) | Llama 3.2 3B | null | llama.cpp | 97.93 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/34 | https://getrigbase.com/builds/dell-pro-max-gb10-dgx-spark/ |
intel-13900k-rtx-5090 | Intel i9-13900K + RTX 5090 | RTX 5090 | 32 | Intel Core i9-13900K | null | null | Llama 3.2 3B | null | llama.cpp | 271.4 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/pull/18 | https://getrigbase.com/builds/intel-13900k-rtx-5090/ |
ryzen-7900x-rtx-4090 | Ryzen 9 7900X + RTX 4090 | RTX 4090 | 24 | AMD Ryzen 9 7900X | null | null | Llama 3.2 3B | null | llama.cpp | 237.05 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/pull/11 | https://getrigbase.com/builds/ryzen-7900x-rtx-4090/ |
ryzen-7900x-rtx-4090 | Ryzen 9 7900X + RTX 4090 | RTX 4090 | 24 | AMD Ryzen 9 7900X | null | null | Llama 3.1 70B | null | GPU+CPU offload | 3.1 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/pull/11 | https://getrigbase.com/builds/ryzen-7900x-rtx-4090/ |
ryzen-7950x-rtx-4080 | Ryzen 9 7950X + RTX 4080 | RTX 4080 | 16 | AMD Ryzen 9 7950X | null | null | Llama 3.2 3B | null | llama.cpp | 204.45 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/pull/11 | https://getrigbase.com/builds/ryzen-7950x-rtx-4080/ |
ryzen-7950x-rtx-4070-ti-super | Ryzen 9 7950X + RTX 4070 Ti Super | RTX 4070 Ti Super | 16 | AMD Ryzen 9 7950X | null | null | Llama 3.2 3B | null | llama.cpp | 198.95 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/pull/11 | https://getrigbase.com/builds/ryzen-7950x-rtx-4070-ti-super/ |
ryzen-9950x-rx-7900-xt | Ryzen 9 9950X + Radeon RX 7900 XT | AMD Radeon RX 7900 XT | 20 | AMD Ryzen 9 9950X | null | null | Llama 3.2 3B | null | llama.cpp | 131.2 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/pull/11 | https://getrigbase.com/builds/ryzen-9950x-rx-7900-xt/ |
m4-mac-mini-32gb | M4 Mac mini (10-core) 32GB | Apple M4 (unified) | 32 | Apple M4 | null | Peak 30.1 W | Llama 3.2 3B | null | llama.cpp | 41.31 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/2 | https://getrigbase.com/builds/m4-mac-mini-32gb/ |
ampereone-a192-512gb-cpu | AmpereOne A192-32X 512GB (CPU only) | None (CPU only) | null | AmpereOne A192-32X | 512 GB | Peak 477 W (DeepSeek R1 671B) | DeepSeek R1 671B | null | llama.cpp | 4.18 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/10 | https://getrigbase.com/builds/ampereone-a192-512gb-cpu/ |
ampereone-a192-512gb-cpu | AmpereOne A192-32X 512GB (CPU only) | None (CPU only) | null | AmpereOne A192-32X | 512 GB | Peak 477 W (DeepSeek R1 671B) | Llama 3.1 70B | null | llama.cpp | 3.86 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/10 | https://getrigbase.com/builds/ampereone-a192-512gb-cpu/ |
ampereone-a192-512gb-cpu | AmpereOne A192-32X 512GB (CPU only) | None (CPU only) | null | AmpereOne A192-32X | 512 GB | Peak 477 W (DeepSeek R1 671B) | Llama 3.1 405B | null | llama.cpp | 0.9 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/10 | https://getrigbase.com/builds/ampereone-a192-512gb-cpu/ |
ampereone-a192-512gb-cpu | AmpereOne A192-32X 512GB (CPU only) | None (CPU only) | null | AmpereOne A192-32X | 512 GB | Peak 477 W (DeepSeek R1 671B) | Llama 3.2 3B | null | llama.cpp | 23.52 | none | null | null | null | null | yes | https://github.com/geerlingguy/ai-benchmarks/issues/10 | https://getrigbase.com/builds/ampereone-a192-512gb-cpu/ |
macbook-m4-max-36gb | Apple M4 Max 36GB | Apple M4 Max (unified) | 36 | Apple M4 Max | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 92.36 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/macbook-m4-max-36gb/ |
apple-m1-max-64gb-gpt-oss | Apple M1 Max 64GB | Apple M1 Max (unified) | 64 | Apple M1 Max | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 75.15 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/apple-m1-max-64gb-gpt-oss/ |
rtx-pro-6000-96gb | RTX Pro 6000 96GB workstation card | RTX Pro 6000 (Blackwell) | 96 | null | null | null | gpt-oss 120B | MXFP4 | llama.cpp | 196.31 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/rtx-pro-6000-96gb/ |
rtx-pro-6000-96gb | RTX Pro 6000 96GB workstation card | RTX Pro 6000 (Blackwell) | 96 | null | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 286.91 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/rtx-pro-6000-96gb/ |
single-rtx-3090-gpt-oss | Single RTX 3090 24GB | RTX 3090 | 24 | null | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 161.77 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/single-rtx-3090-gpt-oss/ |
single-rtx-5090-gpt-oss | Single RTX 5090 32GB | RTX 5090 | 32 | null | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 282.51 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/single-rtx-5090-gpt-oss/ |
single-rtx-5070-ti-gpt-oss | Single RTX 5070 Ti 16GB | RTX 5070 Ti | 16 | null | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 189.45 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/single-rtx-5070-ti-gpt-oss/ |
single-rtx-5060-ti-16gb-gpt-oss | Single RTX 5060 Ti 16GB | RTX 5060 Ti 16GB | 16 | null | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 111.51 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/single-rtx-5060-ti-16gb-gpt-oss/ |
single-rtx-5080-gpt-oss | Single RTX 5080 16GB | RTX 5080 | 16 | null | null | null | gpt-oss 20B | MXFP4 | llama.cpp | 204.85 | none | null | null | null | null | yes | https://github.com/ggml-org/llama.cpp/discussions/15396 | https://getrigbase.com/builds/single-rtx-5080-gpt-oss/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | Qwen3.6 35B-A3B | llama-bench tg128 (quant per result) | llama.cpp | 258 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | Qwen3.6 27B | llama-bench tg128 (quant per result) | llama.cpp | 75.7 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | Gemma 4 31B | llama-bench tg128 (quant per result) | llama.cpp | 70.0 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | Gemma 4 26B-A4B | llama-bench tg128 (quant per result) | llama.cpp | 235 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | Gemma 4 12B | llama-bench tg128 (quant per result) | llama.cpp | 142 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | gpt-oss 20B | llama-bench tg128 (quant per result) | llama.cpp | 313 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-5090 | RTX 5090: 2026 models (llamabench community) | RTX 5090 | 32 | null | null | null | Qwen3.5 9B | llama-bench tg128 (quant per result) | llama.cpp | 208 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5090 | https://getrigbase.com/builds/llamabench-rtx-5090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | Qwen3.6 27B | llama-bench tg128 (quant per result) | llama.cpp | 47.0 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | Gemma 4 31B | llama-bench tg128 (quant per result) | llama.cpp | 43.8 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | Gemma 4 26B-A4B | llama-bench tg128 (quant per result) | llama.cpp | 164 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | Gemma 4 12B | llama-bench tg128 (quant per result) | llama.cpp | 98.1 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | gpt-oss 20B | llama-bench tg128 (quant per result) | llama.cpp | 203 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | Qwen3.5 9B | llama-bench tg128 (quant per result) | llama.cpp | 137 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | LFM2.5 24B-A2B | llama-bench tg128 (quant per result) | llama.cpp | 261-339 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-4090 | RTX 4090: 2026 models (llamabench community) | RTX 4090 | 24 | null | null | null | Nemotron 3.5 Bolt 74B-A9B | llama-bench tg128 (quant per result) | llama.cpp | 108 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx4090 | https://getrigbase.com/builds/llamabench-rtx-4090/ |
llamabench-rtx-3090 | RTX 3090: 2026 models (llamabench community) | RTX 3090 | 24 | null | null | null | Qwen3.6 35B-A3B | llama-bench tg128 (quant per result) | llama.cpp | 146-153 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx3090 | https://getrigbase.com/builds/llamabench-rtx-3090/ |
llamabench-rtx-3090 | RTX 3090: 2026 models (llamabench community) | RTX 3090 | 24 | null | null | null | Qwen3.6 27B | llama-bench tg128 (quant per result) | llama.cpp | 40.2 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx3090 | https://getrigbase.com/builds/llamabench-rtx-3090/ |
llamabench-rtx-3090 | RTX 3090: 2026 models (llamabench community) | RTX 3090 | 24 | null | null | null | Qwen3.8 27B | llama-bench tg128 (quant per result) | llama.cpp | 38.2-71.6 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx3090 | https://getrigbase.com/builds/llamabench-rtx-3090/ |
llamabench-rtx-5070-ti | RTX 5070 Ti: 2026 models (llamabench community) | RTX 5070 Ti | 16 | null | null | null | Gemma 4 12B | llama-bench tg128 (quant per result) | llama.cpp | 87.6 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx5070ti | https://getrigbase.com/builds/llamabench-rtx-5070-ti/ |
llamabench-rtx-3060 | RTX 3060 12GB: 2026 models (llamabench community) | RTX 3060 | 12 | null | null | null | Gemma 4 12B | llama-bench tg128 (quant per result) | llama.cpp | 38.5 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx3060 | https://getrigbase.com/builds/llamabench-rtx-3060/ |
llamabench-rtx-3060 | RTX 3060 12GB: 2026 models (llamabench community) | RTX 3060 | 12 | null | null | null | LFM2.5 24B-A2B | llama-bench tg128 (quant per result) | llama.cpp | 125 | none | null | null | null | null | yes | https://llamabench.ai/browse/rtx3060 | https://getrigbase.com/builds/llamabench-rtx-3060/ |
End of preview. Expand in Data Studio
RigBase: measured local-LLM speeds on real home hardware
117 real home AI builds and 298 measured results across 48 models (Qwen3.8, Qwen3.6, Gemma 4, gpt-oss, Nemotron, DeepSeek and more), on NVIDIA, AMD, Intel, Apple Silicon, Strix Halo and DGX Spark. Snapshot: 2026-10-24.
Every row links to its original public source (GitHub discussions, Reddit, llama-bench databases, blogs, YouTube). RigBase collects and normalises these numbers; it does not re-measure them.
- Website: https://getrigbase.com
- Always-current download: https://getrigbase.com/data/ (builds.csv, builds.json)
- Submit a build: https://getrigbase.com/submit/
Files
builds.csv: one row per measured result (298 rows).builds.json: one object per build with its parts and a list of results.
Columns (builds.csv)
| column | meaning |
|---|---|
| build_slug, build_title | build id and name; page at page_url |
| gpus, vram_gb | GPU(s) or chip, total VRAM / unified memory in GB |
| cpu, ram, power | host parts and reported power draw (free text) |
| model, quant, engine | model, quantization, inference engine as reported |
| tps | generation (decode) speed, tokens/sec |
| spec_decode | none, or the speculative-decoding method (MTP, draft model, etc.) |
| prefill_tps, context | prompt-processing speed and context length, where reported |
| how_measured, status | measurement notes and status |
| source_checked_by_rigbase | whether RigBase re-checked the number against the source |
| source | URL of the original public measurement |
| page_url | RigBase page for the build |
Caveats
- Numbers come from different people, engines, quants and settings. Compare rows from the same source when you compute ratios.
- Results with speculative decoding are marked in
spec_decode; filter them out for plain decode speed.
License and citation
CC BY 4.0. Please credit "RigBase (getrigbase.com)" and link the original sources where you use individual numbers.
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