Donato Capitella
7.8 KiB
7.8 KiB
AMD Strix Halo — llama.cpp Toolboxes (Benchmarks)
Interactive results: https://kyuz0.github.io/amd-strix-halo-toolboxes/
Table of Contents
- Benchmark methodology
- Summary of current dataset (Flash Attention ON)
- Analyses by feature
- Recommendations
- Winner calculation
Benchmark methodology
- pp512 — prompt processing throughput (tokens/sec, prefill)
- tg128 — token generation throughput (tokens/sec, interactive)
- Each backend tested twice per model:
-fa 0and-fa 1 - Winners per model/test are margin-aware; multiple winners are possible when mean±σ overlap
- Built from the same llama.cpp commit for consistency
Backends in this dataset: ROCm 7 RC + ROCWMMA + hipBLASLt, ROCm 7 RC (hipBLASLt), ROCm 7 RC (hipBLASLt OFF), ROCm 7 RC + ROCWMMA (hipBLASLt OFF), ROCm 6.4.3 (hipBLASLt), ROCm 6.4.3 (hipBLASLt OFF), ROCm 6.4.3 + ROCWMMA (hipBLASLt), ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF), Vulkan AMDVLK, Vulkan RADV
ROCm hipBLASLt policy: Toolboxes ship with hipBLASLt enabled by default (ROCBLAS_USE_HIPBLASLT=1). The benchmark script also runs hipBLASLt OFF variants (-hblt0) to measure its effect.
Summary of current dataset (Flash Attention ON)
Placement counts
Prompt Processing (pp512)
| Backend | 1st | 2nd | 3rd |
|---|---|---|---|
| ROCm 6.4.3 + ROCWMMA (hipBLASLt) | 9 | 6 | 0 |
| Vulkan AMDVLK | 4 | 0 | 2 |
| ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 3 | 3 | 8 |
| ROCm 7 RC + ROCWMMA + hipBLASLt | 1 | 8 | 5 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 0 | 0 | 1 |
| Vulkan RADV | 0 | 0 | 1 |
Token Generation (tg128)
| Backend | 1st | 2nd | 3rd |
|---|---|---|---|
| Vulkan RADV | 14 | 0 | 0 |
| ROCm 6.4.3 (hipBLASLt) | 3 | 0 | 1 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt) | 1 | 4 | 3 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 1 | 2 | 4 |
| ROCm 6.4.3 (hipBLASLt OFF) | 1 | 1 | 1 |
| ROCm 7 RC (hipBLASLt) | 1 | 1 | 4 |
| ROCm 7 RC (hipBLASLt OFF) | 1 | 1 | 2 |
| ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 1 | 1 | 1 |
| Vulkan AMDVLK | 0 | 10 | 0 |
| ROCm 7 RC + ROCWMMA + hipBLASLt | 0 | 1 | 2 |
Pairwise head-to-head wins
For any model+quant where both backends succeeded, this counts who was faster (ties when equal).
| Comparison | Test | A wins | B wins | Ties | Total |
|---|---|---|---|---|---|
| ROCm 7 RC + ROCWMMA + hipBLASLt vs Vulkan AMDVLK | pp512 | 11 | 5 | 0 | 16 |
| ROCm 7 RC + ROCWMMA + hipBLASLt vs Vulkan AMDVLK | tg128 | 4 | 11 | 1 | 16 |
| ROCm 7 RC + ROCWMMA + hipBLASLt vs Vulkan RADV | pp512 | 15 | 2 | 0 | 17 |
| ROCm 7 RC + ROCWMMA + hipBLASLt vs Vulkan RADV | tg128 | 3 | 14 | 0 | 17 |
| Vulkan AMDVLK vs Vulkan RADV | pp512 | 14 | 2 | 0 | 16 |
| Vulkan AMDVLK vs Vulkan RADV | tg128 | 2 | 14 | 0 | 16 |
Average ranks
Prompt Processing (pp512)
| Backend | Avg Rank (↓ is better) |
|---|---|
| ROCm 6.4.3 + ROCWMMA (hipBLASLt) | 1.4 |
| Vulkan AMDVLK | 1.67 |
| ROCm 7 RC + ROCWMMA + hipBLASLt | 2.29 |
| ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 2.36 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 3.0 |
| Vulkan RADV | 3.0 |
Token Generation (tg128)
| Backend | Avg Rank (↓ is better) |
|---|---|
| Vulkan RADV | 1.0 |
| ROCm 6.4.3 (hipBLASLt) | 1.5 |
| Vulkan AMDVLK | 2.0 |
| ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 2.0 |
| ROCm 6.4.3 (hipBLASLt OFF) | 2.0 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt) | 2.25 |
| ROCm 7 RC (hipBLASLt OFF) | 2.25 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 2.43 |
| ROCm 7 RC (hipBLASLt) | 2.5 |
| ROCm 7 RC + ROCWMMA + hipBLASLt | 2.67 |
Analyses by feature
Impact of Flash Attention
Median % change when Flash Attention ON vs OFF, paired by model+quant, per backend:
| Backend | pp512 Δ% (median, min..max, n) | tg128 Δ% (median, min..max, n) |
|---|---|---|
| ROCm 7 RC + ROCWMMA + hipBLASLt | 8.8% (3.6..65.6), n=15 | -1.2% (-8.2..-0.3), n=15 |
| ROCm 7 RC (hipBLASLt) | -20.7% (-30.1..6.5), n=11 | -0.9% (-8.5..3.0), n=11 |
| ROCm 7 RC (hipBLASLt OFF) | -22.9% (-28.2..-16.1), n=10 | -1.5% (-8.6..0.1), n=10 |
| ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 5.8% (1.3..24.1), n=17 | -1.4% (-7.4..15.1), n=17 |
| ROCm 6.4.3 (hipBLASLt) | -20.9% (-29.8..-11.9), n=13 | -1.2% (-6.9..0.8), n=13 |
| ROCm 6.4.3 (hipBLASLt OFF) | -10.9% (-22.3..3.6), n=10 | -1.4% (-11.1..0.0), n=10 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt) | 11.3% (3.9..25.7), n=16 | -0.7% (-7.5..3.0), n=16 |
| ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 5.9% (1.8..12.3), n=11 | -0.9% (-6.5..2.3), n=11 |
| Vulkan AMDVLK | 1.1% (-45.4..20.2), n=16 | -1.3% (-28.6..0.1), n=16 |
| Vulkan RADV | 3.7% (-2.6..12.5), n=17 | 0.0% (-5.8..2.4), n=17 |
Impact of ROCWMMA
| Context | Test | Compared Envs | Pairs | Median Δ% |
|---|---|---|---|---|
| ROCm 7 RC (hipBLASLt) | pp512 | ROCm 7 RC + ROCWMMA + hipBLASLt vs ROCm 7 RC (hipBLASLt) | 17 | 17.6% |
| ROCm 7 RC (hipBLASLt) | tg128 | ROCm 7 RC + ROCWMMA + hipBLASLt vs ROCm 7 RC (hipBLASLt) | 17 | -0.8% |
| ROCm 7 RC (hipBLASLt OFF) | pp512 | ROCm 7 RC + ROCWMMA (hipBLASLt OFF) vs ROCm 7 RC (hipBLASLt OFF) | 16 | 14.6% |
| ROCm 7 RC (hipBLASLt OFF) | tg128 | ROCm 7 RC + ROCWMMA (hipBLASLt OFF) vs ROCm 7 RC (hipBLASLt OFF) | 16 | -0.9% |
| ROCm 6.4.3 (hipBLASLt) | pp512 | ROCm 6.4.3 + ROCWMMA (hipBLASLt) vs ROCm 6.4.3 (hipBLASLt) | 16 | 17.5% |
| ROCm 6.4.3 (hipBLASLt) | tg128 | ROCm 6.4.3 + ROCWMMA (hipBLASLt) vs ROCm 6.4.3 (hipBLASLt) | 16 | -0.3% |
| ROCm 6.4.3 (hipBLASLt OFF) | pp512 | ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) vs ROCm 6.4.3 (hipBLASLt OFF) | 10 | 9.7% |
| ROCm 6.4.3 (hipBLASLt OFF) | tg128 | ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) vs ROCm 6.4.3 (hipBLASLt OFF) | 10 | 0.2% |
Impact of hipBLASLt
| Context | Test | Compared Envs | Pairs | Median Δ% |
|---|---|---|---|---|
| ROCm 7 RC (no ROCWMMA) | pp512 | ROCm 7 RC (hipBLASLt) vs ROCm 7 RC (hipBLASLt OFF) | 16 | 0.4% |
| ROCm 7 RC (no ROCWMMA) | tg128 | ROCm 7 RC (hipBLASLt) vs ROCm 7 RC (hipBLASLt OFF) | 16 | -0.1% |
| ROCm 7 RC + ROCWMMA | pp512 | ROCm 7 RC + ROCWMMA + hipBLASLt vs ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 17 | 2.0% |
| ROCm 7 RC + ROCWMMA | tg128 | ROCm 7 RC + ROCWMMA + hipBLASLt vs ROCm 7 RC + ROCWMMA (hipBLASLt OFF) | 17 | 0.0% |
| ROCm 6.4.3 (no ROCWMMA) | pp512 | ROCm 6.4.3 (hipBLASLt) vs ROCm 6.4.3 (hipBLASLt OFF) | 10 | 154.8% |
| ROCm 6.4.3 (no ROCWMMA) | tg128 | ROCm 6.4.3 (hipBLASLt) vs ROCm 6.4.3 (hipBLASLt OFF) | 10 | 0.0% |
| ROCm 6.4.3 + ROCWMMA | pp512 | ROCm 6.4.3 + ROCWMMA (hipBLASLt) vs ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 14 | 117.0% |
| ROCm 6.4.3 + ROCWMMA | tg128 | ROCm 6.4.3 + ROCWMMA (hipBLASLt) vs ROCm 6.4.3 + ROCWMMA (hipBLASLt OFF) | 14 | -0.0% |
Vulkan: AMDVLK vs RADV
Head-to-head wins with selected Flash Attention filter:
| Test | AMDVLK wins | RADV wins | Ties | Total |
|---|---|---|---|---|
| pp512 | 14 | 2 | 0 | 16 |
| tg128 | 2 | 14 | 0 | 16 |
Recommendations
- Fastest prompt processing: ROCm 6.4.3 + ROCWMMA (hipBLASLt) (most 1st-place finishes with selected Flash Attention filter).
- Fastest token generation: Vulkan RADV (most 1st-place finishes with selected Flash Attention filter).
- Balanced choice: ROCm 6.4.3 + ROCWMMA (hipBLASLt) (consistently near the top across PP/TG).
Winner calculation
A backend is counted as a winner if its mean throughput is within the best backend’s pooled ± error margin for that model/test type. This treats results within measurement noise as ties instead of false losses.