Update benchmark results

README.md

@@ -80,22 +80,21 @@ instructions and serving examples once the integration is publicly available.
 
 ## Benchmark results
 
-Results for this checkpoint will be added here. **TBD** means not yet reported.
-
-| Dataset | Acceptance length | Speedup |
-|---|---:|---:|
-| GSM8K | TBD | TBD |
-| MATH-500 | TBD | TBD |
-| AIME 2025 | TBD | TBD |
-| HumanEval | TBD | TBD |
-| MBPP | TBD | TBD |
-| LiveCodeBench | TBD | TBD |
-
-Acceptance length is the mean number of tokens committed per verification
-step, including the target token. Speedup is measured against target-only
-autoregressive decoding with the same hardware, inputs, and decoding settings.
-The runtime version, tree budget, concurrency, and timing protocol will be
-reported alongside the results.
+All methods use **block size 16**, TP1, concurrency 1, BF16, and greedy
+no-thinking decoding. UBTree uses a 49-node tree.
+
+Each cell shows **acceptance length / E2E speedup over target-only AR**.
+
+| Dataset | UBTree | DFlash | DSpark |
+|---|---:|---:|---:|
+| GSM8K | **9.53 / 3.055×** | 6.57 / 2.665× | 7.53 / 2.718× |
+| MATH-500 | **9.86 / 3.518×** | 5.74 / 2.643× | 6.96 / 2.826× |
+| AIME 2025 | **8.44 / 3.152×** | 4.76 / 2.261× | 5.37 / 2.263× |
+| HumanEval | **10.04 / 3.411×** | 6.39 / 2.770× | 7.59 / 2.914× |
+| MBPP | **9.35 / 3.062×** | 5.87 / 2.473× | 7.16 / 2.678× |
+| LiveCodeBench | **7.46 / 2.794×** | 4.11 / 1.948× | 4.84 / 2.030× |
+
+AL and throughput use three-round medians; the matched AR baseline uses one round.
 
 ## Citation