Mortdecai
b6190357ba
Cross-host Gemma 4 throughput comparison across three architectures. Harness at scripts/gpu-bakeoff/; writeup at docs/reference/gpu-bakeoff-2026-04-20.md. Key findings: - RTX 3090 Ti wins decode decisively (128 tok/s on gemma4:26b MoE Q4, ~4.7× faster than gemma4:31b dense on the same card). - AMD Strix Halo iGPU lands at ~42% of 3090 Ti decode on ~25% of the memory bandwidth — good SIMD utilization, especially for MoE. - V100 numbers are DEGRADED: CT 167 ai-visualizer SDXL consumes 31/32 GB of its VRAM, forcing Gemma 4 models 95% onto CPU. Isolated V100 run requires SDXL eviction — left as follow-up. - MoE vs dense is the dominant latency factor across all GPUs: ~4 B active params of gemma4:26b beats 31.3 B active of gemma4:31b by the same ratio (~4.7×) on every card tested. Methodology: 1 warmup + 3 measurement runs per (host × model × prompt-length), Ollama's canonical timing fields, temp=0 greedy, num_predict=256. All three Ollama servers accessed via HTTP (Strix via Tailscale). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
81 lines
1.8 KiB
JSON
81 lines
1.8 KiB
JSON
{
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"host": "matt-strix",
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"gpu": "AMD Strix Halo iGPU",
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"vram_gb": null,
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"model_alias": "gemma4:26b",
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"model_tag": "gemma4:26b",
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"prompt_key": "long",
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"prompt_chars": 1614,
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"num_predict": 256,
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"num_ctx": 4096,
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"runs": [
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{
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"prompt_tokens": 319,
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"prompt_eval_ms": 22.5,
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"prefill_tok_per_s": 14201.36,
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"output_tokens": 256,
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"eval_ms": 4883.4,
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"decode_tok_per_s": 52.42,
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"load_ms": 151.1,
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"total_ms": 5120.3,
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"harness_wall_s": 5.186,
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"done_reason": "length"
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},
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{
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"prompt_tokens": 319,
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"prompt_eval_ms": 22.1,
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"prefill_tok_per_s": 14448.45,
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"output_tokens": 256,
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"eval_ms": 4881.1,
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"decode_tok_per_s": 52.45,
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"load_ms": 159.1,
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"total_ms": 5124.5,
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"harness_wall_s": 5.18,
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"done_reason": "length"
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},
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{
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"prompt_tokens": 319,
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"prompt_eval_ms": 22.3,
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"prefill_tok_per_s": 14326.07,
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"output_tokens": 256,
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"eval_ms": 4885.3,
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"decode_tok_per_s": 52.4,
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"load_ms": 155.4,
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"total_ms": 5128.9,
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"harness_wall_s": 5.192,
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"done_reason": "length"
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}
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],
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"warmup": {
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"prompt_tokens": 319,
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"prompt_eval_ms": 265.0,
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"prefill_tok_per_s": 1203.86,
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"output_tokens": 256,
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"eval_ms": 4880.6,
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"decode_tok_per_s": 52.45,
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"load_ms": 159.8,
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"total_ms": 5368.3,
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"harness_wall_s": 5.429,
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"done_reason": "length"
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},
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"summary": {
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"prefill_tok_per_s": {
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"min": 14201.36,
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"median": 14326.07,
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"max": 14448.45,
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"n": 3
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},
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"decode_tok_per_s": {
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"min": 52.4,
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"median": 52.42,
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"max": 52.45,
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"n": 3
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},
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"total_ms": {
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"min": 5120.3,
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"median": 5124.5,
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"max": 5128.9,
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"n": 3
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}
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}
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} |