Mac Studio
Geekbench AI Score
3586
Single Precision Score
5935
Half Precision Score
4789
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | enrogue |
| Upload Date | February 13 2026 03:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
96% |
1488
277.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2575
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10358
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22886
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17668
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2307
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10289
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7247
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22006
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35009
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27979
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3983
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5464
201.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3986
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5087
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5125
88.6 IPS |
