RTX PRO 5000 Blackwell 48GB经济之选1344 GB/s (+544)
C
Raises estimated decode speed by about 143%.123.4 tok/s 解码
Raises estimated decode speed by about 143%.
~$4,999 MSRP
Can Phi 4 reasoning vision 15B run on Mac Studio M2 Ultra 64GB?
YES — Runs Great
C49Usable
Estimated from fit model
Phi 4 reasoning vision 15B needs ~18.7 GB VRAM. Mac Studio M2 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~51 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Q4_K_M (Medium quality) — 18.7 GB, 50.7 tok/s, Runs well
18.7 GB required46.1 GB available
41% VRAM used
Fit status
Runs well
Decode
50.7 tok/s
TTFT
3818 ms
Safe context
265K
Memory
18.7 GB / 46.1 GB
Memory breakdown
Weights9.2 GB
KV Cache1.8 GB
Runtime0.9 GB
Headroom6.9 GB
See how fast it feels
See how fast it feelsPhi 4 reasoning vision 15B on Mac Studio M2 Ultra 64GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 50.7 tok/s decode · 3.8s TTFT (warm) · 127 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 50.7 tok/s | 2082 ms | 265K |
| Coding | C | Runs well | 50.7 tok/s | 3818 ms | 265K |
| Agentic Coding | C | Runs well | 50.7 tok/s | 5553 ms | 265K |
| Reasoning | C | Runs well | 50.7 tok/s | 4512 ms | 265K |
| RAG | C | Runs well | 50.7 tok/s | 6941 ms | 265K |
Quantization options
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C42 |
Q3_K_S | 3 | 7.4 GB | Low | C42 |
NVFP4 | 4 | 8.4 GB | Medium | C43 |
Q4_K_M | 4 | 9.2 GB | Medium | C43 |
Q5_K_M | 5 | 10.8 GB | High | C43 |
Q6_K | 6 | 12.3 GB | High | C44 |
Q8_0 | 8 | 16.1 GB | Very High | C45 |
F16Best for your GPU | 16 | 30.7 GB | Maximum | C48 |
Get started
Copy-paste commands to run Phi 4 reasoning vision 15B on your machine.
Run
lms load hf-jamesburton--phi-4-reasoning-vision-15b-gguf && lms server start升级选项
能流畅运行 Phi 4 reasoning vision 15B 的硬件
Frequently asked questions
Can Mac Studio M2 Ultra 64GB run Phi 4 reasoning vision 15B?
Yes, Mac Studio M2 Ultra 64GB can run Phi 4 reasoning vision 15B with a C grade (Runs well). Expected decode speed: 50.7 tok/s.
How much VRAM does Phi 4 reasoning vision 15B need?
Phi 4 reasoning vision 15B (15B parameters) requires approximately 18.7 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi 4 reasoning vision 15B?
The recommended quantization for Phi 4 reasoning vision 15B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi 4 reasoning vision 15B run at on Mac Studio M2 Ultra 64GB?
On Mac Studio M2 Ultra 64GB, Phi 4 reasoning vision 15B achieves approximately 50.7 tokens per second decode speed with a time-to-first-token of 3818ms using Q4_K_M quantization.
Can Mac Studio M2 Ultra 64GB run Phi 4 reasoning vision 15B for coding?
For coding workloads, Phi 4 reasoning vision 15B on Mac Studio M2 Ultra 64GB receives a C grade with 50.7 tok/s and 265K context.
What context window can Phi 4 reasoning vision 15B use on Mac Studio M2 Ultra 64GB?
On Mac Studio M2 Ultra 64GB, Phi 4 reasoning vision 15B can safely use up to 265K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Is unified memory on Mac Studio M2 Ultra 64GB as fast as VRAM for Phi 4 reasoning vision 15B?
Not always. Mac Studio M2 Ultra 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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