RTX PRO 5000 Blackwell 48GBGünstige Wahl1344 GB/s (+544)
B
Raises estimated decode speed by about 143%.142.1 tok/s Dekodierung
Raises estimated decode speed by about 143%.
ca. $4,999 MSRP
Can Phi 3 Medium 14B run on Mac Studio M2 Ultra 64GB?
YES — Runs Great
B60Good
Estimated from fit model
Phi 3 Medium 14B needs ~19.4 GB VRAM. Mac Studio M2 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~58 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) — 19.4 GB, 58.4 tok/s, Runs well
19.4 GB required46.1 GB available
42% VRAM used
Fit status
Runs well
Decode
58.4 tok/s
TTFT
3315 ms
Safe context
128K
Memory
19.4 GB / 46.1 GB
Memory breakdown
Weights8.5 GB
KV Cache3.1 GB
Runtime0.9 GB
Headroom6.9 GB
See how fast it feels
See how fast it feelsPhi 3 Medium 14B 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: 58.4 tok/s decode · 3.3s TTFT (warm) · 146 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 | B | Runs well | 58.4 tok/s | 1808 ms | 128K |
| Coding | B | Runs well | 58.4 tok/s | 3315 ms | 128K |
| Agentic Coding | B | Runs well | 58.4 tok/s | 4821 ms | 128K |
| Reasoning | B | Runs well | 58.4 tok/s | 3917 ms | 128K |
| RAG | B | Runs well | 58.4 tok/s | 6027 ms | 128K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C53 |
Q3_K_S | 3 | 6.9 GB | Low | C53 |
NVFP4 | 4 | 7.8 GB | Medium | C53 |
Q4_K_M | 4 | 8.5 GB | Medium | C54 |
Q5_K_M | 5 | 10.1 GB | High | C54 |
Q6_K | 6 | 11.5 GB | High | C55 |
Q8_0 | 8 | 15.0 GB | Very High | B56 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | B59 |
Get started
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumUpgrade-Optionen
Hardware, die Phi 3 Medium 14B gut ausführt
Frequently asked questions
Can Mac Studio M2 Ultra 64GB run Phi 3 Medium 14B?
Yes, Mac Studio M2 Ultra 64GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 58.4 tok/s.
How much VRAM does Phi 3 Medium 14B need?
Phi 3 Medium 14B (14B parameters) requires approximately 19.4 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi 3 Medium 14B?
The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi 3 Medium 14B run at on Mac Studio M2 Ultra 64GB?
On Mac Studio M2 Ultra 64GB, Phi 3 Medium 14B achieves approximately 58.4 tokens per second decode speed with a time-to-first-token of 3315ms using Q4_K_M quantization.
Can Mac Studio M2 Ultra 64GB run Phi 3 Medium 14B for coding?
For coding workloads, Phi 3 Medium 14B on Mac Studio M2 Ultra 64GB receives a B grade with 58.4 tok/s and 128K context.
What context window can Phi 3 Medium 14B use on Mac Studio M2 Ultra 64GB?
On Mac Studio M2 Ultra 64GB, Phi 3 Medium 14B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Is unified memory on Mac Studio M2 Ultra 64GB as fast as VRAM for Phi 3 Medium 14B?
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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