Mac Studio (2025)
Geekbench AI Score
5821
Single Precision Score
9417
Half Precision Score
7124
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | itroos |
| Upload Date | December 20 2025 10:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.0 IPS |
|
|
Image Classification (Q)
|
96% |
2142
400.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3390
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3843
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18210
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34622
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25987
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
3873
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4902
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8336
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
4732
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8668
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15478
119.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9469
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31073
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57637
74.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43352
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9628
355.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5440
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6492
111.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9900
171.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9906
171.2 IPS |
