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Mistral Large 3 70B · IQ3_S
Apple M4 Pro64GBllama.cpp b4200L0 Self-reported
This page aggregates 1 real-world runs of Mistral Large 3 70B (IQ3_S) on Apple M4 Pro with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
7.5 tok/s
Decode
Decode speed
56.3 tok/s
Prefill
Prefill speed
1.78 s
TTFT
Time to first token
28.9 GB
VRAM
VRAM usage
L0 Self-reported
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- llama.cpp · Q4_K_M Decode 5 · Prefill 37.5 ·
- llama.cpp · IQ3_S (current)Decode 7.5 · Prefill 56.3 ·
- llama.cpp · IQ2_XS Decode 9 · Prefill 67.5 ·
Core figures
- Decode (avg)
- 7.5 tok/s
- Prefill (avg)
- 56.3 tok/s
- TTFT (avg)
- 1.78 s
- VRAM (avg)
- 28.9 GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- — W
Configuration
Member-level fields are taken from the most recent run
- Model
- Mistral Large 3 70B
- Quantization
- IQ3_S
- Framework
- llama.cpp
- Version
- b4200
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 99
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M4 Pro
- Nominal VRAM
- 64 GB
- Measured VRAM (avg)
- 28.9 GB
- OS
- Linux
- Driver
- 570.65
- CUDA
- 12.6
Sources & evidence
1 measured records in total, each traceable to its original source
b4200 · Linux · CUDA 12.6 · 4096 ctx
7.5 tok/s
Decode
56.3 tok/s
Prefill
1.78 s
TTFT
28.9 GB
VRAM
—
MTP
— W
Power draw
L0 理论估算（add-500-records-batch2）