AMD Strix Halo (64GB) vs Apple M4 Max (64GB)
Side-by-side local AI comparison — VRAM, memory bandwidth, model compatibility, and estimated tokens per second across 84 open-weight models.
Quick verdict
Apple M4 Max (64GB) wins for local AI inference. It has 113% more memory bandwidth, runs 56 models natively (vs 56), and exclusively fits 0 models the other cannot. Note: AMD Strix Halo (64GB) uses VULKAN while Apple M4 Max (64GB) uses METAL — software ecosystem matters for your framework.
Specs comparison
| Spec | AMD Strix Halo (64GB) | Apple M4 Max (64GB) |
|---|---|---|
| VRAM | 64 GB unified | 64 GB unified |
| Memory type | LPDDR5X | LPDDR5X |
| Bandwidth | 256 GB/s | 546 GB/s(+113%) |
| CPU cores | — | 16 (12P + 4E) |
| Architecture | RDNA 3.5 | Apple M4 Max |
| Backend | VULKAN | METAL |
| Tier | Laptop | Laptop |
| Released | 2025 | 2024 |
| Models (native) | 56 | 56 |
Estimated tokens per second
Computed from memory bandwidth and model active-parameter weight. Assumes model fits natively in VRAM.
| Model | AMD Strix Halo (64GB) | Apple M4 Max (64GB) | Delta |
|---|---|---|---|
| Llama 3.3 70B Instruct(70B) | 3.7 t/s(Q4_K_M) | 9.6 t/s(Q4_K_M) | -61% |
| Qwen 3.6 27B(27B) | 5.7 t/s(Q8_0) | 14.9 t/s(Q8_0) | -62% |
| Llama 3.1 8B Instruct(8B) | 5 t/s(FP32) | 13.2 t/s(FP32) | -62% |
| Qwen 2.5 7B Instruct(7.6B) | 5.4 t/s(FP32) | 14.1 t/s(FP32) | -62% |
Delta is AMD Strix Halo (64GB) relative to Apple M4 Max (64GB).
Only AMD Strix Halo (64GB) can run(0)
No exclusive models — Apple M4 Max (64GB) can run everything AMD Strix Halo (64GB) can.
Only Apple M4 Max (64GB) can run(0)
No exclusive models — AMD Strix Halo (64GB) can run everything Apple M4 Max (64GB) can.
Both run natively(56)
These models fit in VRAM on both GPUs. Bandwidth determines which runs them faster.
- Qwen 3.5 122B-A10B (MoE)11.2 t/svs29.4 t/s
- Nemotron 3 Super 120B10.4 t/svs27.3 t/s
- Llama 4 Scout 109B6.9 t/svs18 t/s
- GLM-4.5 Air 106B9.9 t/svs26 t/s
- GLM-4.6V 106B9.9 t/svs26 t/s
- Qwen 2.5 72B Instruct3.6 t/svs9.4 t/s
- Llama 3.3 70B Instruct3.7 t/svs9.6 t/s
- DeepSeek R1 Distill Llama 70B3.7 t/svs9.6 t/s
- Llama 3.1 70B Instruct3.7 t/svs9.6 t/s
- Mixtral 8x7B Instruct v0.14.6 t/svs12 t/s
- Command-R 35B3.5 t/svs9.1 t/s
- Qwen 3.5 35B-A3B (MoE)15.4 t/svs40.5 t/s
- Qwen 3.6 35B4.2 t/svs11.1 t/s
- Yi 1.5 34B Chat4.3 t/svs11.3 t/s
- Qwen3 32B4.6 t/svs12.1 t/s
- Qwen 2.5 32B Instruct4.5 t/svs11.9 t/s
- +40 more on both
Which should you choose?
- • You want the newer architecture and longer driver support lifecycle
- • Faster token generation is the priority
- • You're on macOS and want native Metal acceleration (MLX, llama.cpp)
Frequently asked questions
- Which is better for local AI, the AMD Strix Halo (64GB) or Apple M4 Max (64GB)?
- For local AI inference, the Apple M4 Max (64GB) has the edge. It offers 64 GB VRAM (vs 64 GB) and 546 GB/s bandwidth (vs 256 GB/s), letting it run 56 models natively in VRAM vs 56 for its rival.
- How much VRAM does the AMD Strix Halo (64GB) have vs the Apple M4 Max (64GB)?
- The AMD Strix Halo (64GB) has 64 GB of LPDDR5X at 256 GB/s. The Apple M4 Max (64GB) has 64 GB of LPDDR5X at 546 GB/s. Both GPUs have the same VRAM amount; bandwidth determines which generates tokens faster.
- Can the AMD Strix Halo (64GB) run Llama 3.3 70B?
- Yes. The AMD Strix Halo (64GB) runs Llama 3.3 70B natively at Q4_K_M quantization at approximately 3.7 tokens per second.
- Can the Apple M4 Max (64GB) run Llama 3.3 70B?
- Yes. The Apple M4 Max (64GB) runs Llama 3.3 70B natively at Q4_K_M quantization at approximately 9.6 tokens per second.
- What is the difference between the AMD Strix Halo (64GB) and Apple M4 Max (64GB) for AI?
- The key difference for AI inference is VRAM and memory bandwidth. The AMD Strix Halo (64GB) has 64 GB VRAM at 256 GB/s (VULKAN backend). The Apple M4 Max (64GB) has 64 GB VRAM at 546 GB/s (METAL backend). VRAM determines which models fit; bandwidth determines tokens per second. The AMD Strix Halo (64GB) runs 56 models natively vs 56 for the Apple M4 Max (64GB).