Mac Studio (2025)
Geekbench AI Score
5990
Single Precision Score
9525
Half Precision Score
7295
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | gemino |
| Upload Date | February 27 2026 06:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | Mac Studio (2025) |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
3005
558.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3577
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18392
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34581
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27232
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
3973
316.3 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5304
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
8810
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
4901
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9021
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15276
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9827
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31557
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57420
73.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43331
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9426
348.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5510
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5816
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6579
113.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9835
169.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9811
169.6 IPS |
