Mac Studio
Geekbench AI Score
3641
Single Precision Score
14917
Half Precision Score
14652
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | logowerbung |
| Upload Date | December 22 2025 02:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
6237
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5913
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8857
143.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9442
153.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10446
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68367
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
62572
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7126
566.9 IPS |
|
|
Object Detection (Q)
|
91% |
6740
538.6 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
13491
160.3 IPS |
|
|
Face Detection (Q)
|
100% |
12683
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5721
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45257
348.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47088
368.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22105
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117324
150.8 IPS |
|
|
Style Transfer (Q)
|
96% |
111121
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25022
924.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25770
951.6 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2799
48.4 IPS |
