Mac Studio
Geekbench AI Score
3881
Single Precision Score
16168
Half Precision Score
16252
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | March 17 2025 03:05 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
6663
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6565
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9715
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10464
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16063
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71228
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67548
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
7897
628.2 IPS |
|
|
Object Detection (Q)
|
91% |
7388
590.3 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
14971
177.9 IPS |
|
|
Face Detection (Q)
|
100% |
14526
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51404
396.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53515
418.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23113
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121451
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116998
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25786
952.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27735
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3752
64.8 IPS |
