Mac Studio
Geekbench AI Score
3636
Single Precision Score
14406
Half Precision Score
14374
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 09:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
5911
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5834
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8057
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9344
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10565
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67995
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66273
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
6825
542.9 IPS |
|
|
Object Detection (Q)
|
91% |
6393
510.8 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
12680
150.7 IPS |
|
|
Face Detection (Q)
|
100% |
11874
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45781
352.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46254
361.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22116
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114774
147.5 IPS |
|
|
Style Transfer (Q)
|
96% |
110969
143.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24281
896.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24702
912.1 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4091
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2623
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2647
45.8 IPS |
