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# Model performance and accuracy
Performance and token accuracy using teacher forcing is collected from [demo/simple_text_demo.py](demo/simple_text_demo.py) with the `ci-token-matching` test case. You can generate this table by running these tests with the `lt` tool (tell it to run `table` or `pareto`) and pressing `m` whilst in the results section to export to markdown.
Note that token accuracy parses the below to determine expected values +- 0.5. In May 2025 we switched the default to measuring the accuracy by prefilling 512 tokens and generating another 511, rather than generating 128 tokens in earlier versions. This caused overall accuracy values to drop slightly.
Also note that all the performance metrics below were taken for a maximum generation of 200 tokens, i.e., 200 decode iterations.
## Performance
This configuration uses bfp4 MLP and bfp8 attention weights for all models except:
* Qwen-2.5-7B, which uses bfp8 MLP and bfp16 attention weights in all decoder layers
* Llama-3.1-8B which uses bfp8 MLP in only the 32nd decoder layer and bfp4 MLP elsewhere
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|-------------------|-------------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N150 | 79 | 97 | 87.8 | 26 |
| Llama-3.2-1B | N300 | 79 | 97 | 105.9 | 22 |
| Llama-3.2-1B | T3K | 80 | 97 | 119.8 | 32 |
| Llama-3.2-1B | TG | 77 | 96 | 51.0 | |
| Llama-3.2-3B | N150 | 89 | 98 | 54.0 | 55 |
| Llama-3.2-3B | N300 | 89 | 98 | 68.0 | 39 |
| Llama-3.2-3B | T3K | 91 | 99 | 68.5 | 52 |
| Llama-3.2-3B | TG | 87 | 97 | 33.5 | |
| Llama-3.1-8B | N150 | 90 | 97 | 28.3 | 104 |
| Llama-3.1-8B | N300 | 90 | 97 | 44.2 | 67 |
| Llama-3.1-8B | P100 | 90 | 98 | 29.5 | 84 |
| Llama-3.1-8B | P150 | 90 | 98 | 33.6 | 76 |
| Llama-3.1-8B | T3K | 90 | 98 | 64.3 | 53 |
| Llama-3.1-8B | T3K (DP=4) | | | 39.6 | 58 |
| Llama-3.1-8B | T3K (DP=8) | | | 24.9 | 86 |
| Llama-3.1-8B | TG | 88 | 97 | 29.5 | |
| Llama-3.2-11B | N150 | 90 | 98 | 55.5 | 58 |
| Llama-3.2-11B | N300 | 90 | 98 | 44.1 | 67 |
| Llama-3.2-11B | T3K | 90 | 98 | 62.7 | 47 |
| Llama-3.2-11B | TG | 87 | 97 | 29.5 | |
| Llama-3.1-70B | T3K | 96 | 100 | 16.6 | 164 |
| Llama-3.3-70B | T3K | 96 | 100 | 16.6 | 164 |
| Llama-3.1-70B | TG | 95 | 100 | 12.7 | |
| Llama-3.3-70B | TG | 95 | 100 | 12.7 | |
| Llama-3.1-70B | TG (DP=4) | | | 14.8 | 189 |
| Llama-3.2-90B | T3K | 96 | 100 | 6 | 5535 |
| Qwen2.5-7B | N300 | 84 | 96 | 24.6 | 92 |
| Qwen2.5-72B | T3K | 99 | 100 | 15.2 | 225 |
| Qwen2.5-32B | T3K | 98 | 99 | 22.4 | 190 |
| Qwen2.5-72B | P150x8 | 99 | 100 | | |
| Qwen2.5-32B | P150x8 | 97 | 99 | | |
| EXAONE-4.5-33B | P150x8 | 91 | 100 | 36.3 | 51 |
| Qwen2.5-Coder-32B | T3K | 96 | 99 | 22.4 | 190 |
| Qwen3-32B | T3K | 89 | 97 | 22.9 | 123 |
| QwQ-32B | T3K | 96 | 100 | 20.7 | 105 |
| Phi3.5-mini | N150 | | | 43.2 | 98 |
| Phi3.5-mini | N300 | | | 57.8 | 62 |
| Phi3.5-mini | T3K | | | 48.8 | 51 |
| Mistral-7B | N150 | 95 | 99 | 29.75 | 100.24 |
| Mistral-7B | N300 | 95 | 100 | 47.01 | 65.95 |
| Mistral-7B | T3K | 95 | 100 | 67.82 | 53.93 |
| Mistral-Small-3.1-24B | T3K | 95 | 99 | | |
| Phi-3-mini-128k-instruct | N150 | 89 | 99 | 45.0 | 73.32 |
| Phi-3-mini-128k-instruct | N300 | 89 | 99 | 60.87 | 114.94 |
| Phi-4 | N300 | 97 | 100 | 37.34 | 123.33 |
| Mixtral-8x7B-v0.1 | T3K | 98 | 100 | 67.82 | 53.93 |
| Ministral-8B | N300 | 93 | 98 | 22.15 | 79.3 |
## Accuracy
This configuration uses bfp8 MLP and BF16 attention weights (70B+ models use bfp8 attention and bfp4 MLP).
Llama 3 models test as insensitive to attention precision and so we use bfp8 attention and kv-cache for them even in accuracy mode.
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|-------------------|-------------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N150 | 87 | 99 | 84.7 | 29 |
| Llama-3.2-1B | N300 | 87 | 98 | 102.8 | 21 |
| Llama-3.2-1B | T3K | 88 | 99 | 120.5 | 28 |
| Llama-3.2-1B | TG | 85 | 98 | 48.4 | |
| Llama-3.2-3B | N150 | 96 | 100 | 47.6 | 63 |
| Llama-3.2-3B | N300 | 96 | 100 | 63.5 | 41 |
| Llama-3.2-3B | T3K | 96 | 100 | 67.9 | 69 |
| Llama-3.2-3B | TG | 92 | 99 | 33.6 | |
| Llama-3.1-8B | N150 | 96 | 100 | 25.2 | 138 |
| Llama-3.1-8B | N300 | 96 | 100 | 38.8 | 79 |
| Llama-3.1-8B | T3K | 97 | 100 | 60.8 | 81 |
| Llama-3.1-8B | TG | 95 | 100 | 29.5 | |
| Llama-3.2-11B | N150 | 95 | 100 | 56.7 | 62 |
| Llama-3.2-11B | N300 | 95 | 100 | 38.3 | 78 |
| Llama-3.2-11B | T3K | 96 | 100 | 61.4 | 53 |
| Llama-3.2-11B | TG | 94 | 100 | 29.5 | |
| Llama-3.1-70B | T3K | 96 | 100 | 16.5 | 168 |
| Llama-3.1-70B | TG | 95 | 100 | 12.7 | |
| Llama-3.2-90B | T3K | 96 | 100 | 6 | 5600 |
| Qwen2.5-7B | N300 | 84 | 96 | 24.6 | 92 |
| Qwen2.5-72B | T3K | 99 | 100 | 15.1 | 216 |
| Qwen2.5-32B | T3K | 95 | 99 | 19.7 | 183 |
| Qwen2.5-72B | P150x8 | 99 | 100 | | |
| Qwen2.5-32B | P150x8 | 97 | 99 | | |
| EXAONE-4.5-33B | P150x8 | 96 | 100 | | |
| Qwen2.5-Coder-32B | T3K | 95 | 99 | 19.7 | 183 |
| Qwen3-32B | T3K | 95 | 100 | 19.6 | 119 |
| QwQ-32B | T3K | 99 | 100 | 18.3 | 120 |
| Phi3.5-mini | N150 | | | 38.8 | 92 |
| Phi3.5-mini | N300 | | | 53.9 | 63 |
| Phi3.5-mini | T3K | | | 48.6 | 53 |
| Mistral-7B | N150 | 96 | 100 | 29.75 | 100.24 |
| Mistral-7B | N300 | 97 | 100 | 47.01 | 65.95 |
| Mistral-7B | T3K | 98 | 100 | 67.82 | 53.93 |
| Mistral-Small-3.1-24B | T3K | 95 | 99 | | |
| Phi-3-mini-128k-instruct | N150 | 94 | 99 | 40.41 | 82.58 |
| Phi-3-mini-128k-instruct | N300 | 94 | 99 | 57.0 | 115.36 |
| Phi-4 | N300 | 99 | 100 | 20.48 | 146.32 |
| Mixtral-8x7B-v0.1 | T3K | 95 | 100 | 67.82 | 53.93 |
| Ministral-8B | N300 | 97 | 100 | 19.95 | 93.22 |
## Long-context (64K Tokens)
This configuration uses bfp4 MLP FF1+FF3 for all models. **Batch_size=1 and prefill_length is 64k tokens.**
| Model | Device | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|---------------|-----------|
| Llama-3.2-1B | N150 | 53.0 | 20066 |
| Llama-3.2-1B | N300 | 65.2 | 10949 |
| Llama-3.2-1B | T3K | 73.7 | 5271 |
| Llama-3.2-1B | TG | | |
| Llama-3.2-3B | N150 | 25.3 | 46743 |
| Llama-3.2-3B | N300 | 34.8 | 22921 |
| Llama-3.2-3B | T3K | 41.0 | 10677 |
| Llama-3.2-3B | TG | | |
| Llama-3.1-8B | N150 | 16.9 | 64385 |
| Llama-3.1-8B | N300 | 26.1 | 36229 |
| Llama-3.1-8B | T3K | 38.1 | 16165 |
| Llama-3.1-8B | TG | | |
| Llama-3.2-11B | N300 | 26.1 | 36247 |
| Llama-3.2-11B | T3K | 38.4 | 16167 |
| Llama-3.2-11B | TG | | |
| Llama-3.1-70B | T3K | 11.9 | 74363 |
| Llama-3.1-70B | TG | | |
| Qwen2.5-7B | N300 | | |
| Qwen2.5-72B | T3K | | |
## Long-context (32K Tokens)
This configuration uses bfp4 MLP FF1+FF3 for all models. **Batch_size=1 and prefill_length is 32k tokens.**
| Model | Device | Speed (t/s/u) | TTFT (ms) |
|---------------------------|--------|---------------|-----------|
| Phi-3-mini-128k-instruct | N300 | 26.1 | 10072 |
## Short-Context, Batch-32
This configuration uses bfp4 MLP FF1+FF3 for all models. **Batch_size=32 and prefill_length is 128 tokens.**
| Model | Device | Speed (t/s/u) | avg TTFT (ms) |
|----------------|--------|---------------|---------------|
| Llama-3.2-1B | N150 | 54.7 | 38 |
| Llama-3.2-1B | N300 | 64.2 | 34 |
| Llama-3.2-1B | T3K | 69.9 | 42 |
| Llama-3.2-1B | TG | | |
| Llama-3.2-3B | N150 | 36.5 | 69 |
| Llama-3.2-3B | N300 | 45.8 | 51 |
| Llama-3.2-3B | T3K | 47.8 | 63 |
| Llama-3.2-3B | TG | | |
| Llama-3.1-8B | N150 | 22.3 | 119 |
| Llama-3.1-8B | N300 | 33.5 | 80 |
| Llama-3.1-8B | T3K | 45.6 | 64 |
| Llama-3.1-8B | TG | | |
| Llama-3.2-11B | N300 | 33.4 | 79 |
| Llama-3.2-11B | T3K | 45.1 | 64 |
| Llama-3.2-11B | TG | | |
| Llama-3.1-70B | T3K | 14.8 | 192 |
| Llama-3.1-70B | TG | | |
| Qwen2.5-7B | N300 | | |
| Qwen2.5-72B | T3K | | |
| Phi-3-mini-128k-instruct | 150 | 25.66 | 68.58 |
| Phi-3-mini-128k-instruct | N300 | 39.4 | 85.99 |
# Llama 3 model precision and math fidelity
## precision_cfg = {ff1_3: bfp4, ff2: bfp4, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: lofi, li_ff2: lofi, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 85 | 98 | 100.3 | 69 |
## precision_cfg = {ff1_3: bfp4, ff2: bfp8, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: lofi, li_ff2: hifi2, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 88 | 98 | 100.3 | 55 |
## precision_cfg = {ff1_3: bfp4, ff2: bf16, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: lofi, li_ff2: hifi4, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 87 | 98 | 96.8 | 51 |
## precision_cfg = {ff1_3: bfp8, ff2: bfp4, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi2, li_ff2: lofi, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 87 | 98 | 98.5 | 50 |
## precision_cfg = {ff1_3: bfp8, ff2: bfp8, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi2, li_ff2: hifi2, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 91 | 98 | 99.0 | 60 |
## precision_cfg = {ff1_3: bfp8, ff2: bf16, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi2, li_ff2: hifi4, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 89 | 99 | 95.2 | 49 |
## precision_cfg = {ff1_3: bf16, ff2: bfp4, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi4, li_ff2: lofi, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 89 | 98 | 95.2 | 53 |
## precision_cfg = {ff1_3: bf16, ff2: bfp8, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi4, li_ff2: hifi2, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 91 | 98 | 94.4 | 57 |
## precision_cfg = {ff1_3: bf16, ff2: bf16, wqkv: bfp8, wo: bfp8, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi4, li_ff2: hifi4, li_qkv_decode: hifi2, li_o_decode: hifi2, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: hifi2fp16, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 90 | 98 | 91.2 | 60 |
## precision_cfg = {ff1_3: bfp8, ff2: bfp8, wqkv: bfp8, wo: bfp4, kv_cache: bfp8, activation: bf16}, fidelity_cfg = {li_ff1_3: hifi2, li_ff2: hifi2, li_qkv_decode: hifi2, li_o_decode: lofi, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: lofi, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 88 | 98 | 98.2 | 45 |
## precision_cfg = {ff1_3: bfp8, ff2: bfp8, wqkv: bfp8, wo: bfp4, kv_cache: bfp8, activation: bfp8}, fidelity_cfg = {li_ff1_3: hifi2, li_ff2: hifi2, li_qkv_decode: hifi2, li_o_decode: lofi, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: lofi, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 90 | 98 | 101.0 | 57 |
## precision_cfg = {ff1_3: bfp8, ff2: bfp8, wqkv: bfp8, wo: bfp4, kv_cache: bfp8, activation: mixed}, fidelity_cfg = {li_ff1_3: hifi2, li_ff2: hifi2, li_qkv_decode: hifi2, li_o_decode: lofi, sdpa_decode: hifi2na, li_qkv_prefill: hifi2, li_o_prefill: lofi, sdpa_prefill: hifi4}
| Model | Device | Top-1 (%) | Top-5 (%) | Speed (t/s/u) | TTFT (ms) |
|----------------|--------|-----------|-----------|---------------|-----------|
| Llama-3.2-1B | N300 | 90 | 98 | 99.4 | 73 |
|