Mac Studio
Geekbench AI Score
3733
Single Precision Score
15027
Half Precision Score
14700
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | August 02 2025 11:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
6222
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5891
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8880
144.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9424
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11133
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68724
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66083
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
7552
600.7 IPS |
|
|
Object Detection (Q)
|
91% |
6654
531.7 IPS |
|
|
Face Detection (SP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
13482
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
12786
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5845
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46943
361.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
48316
377.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22525
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117495
151.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111112
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4224
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25010
923.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25608
945.6 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2821
48.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2831
48.9 IPS |
