Mac Studio
Geekbench AI Score
3962
Single Precision Score
5913
Half Precision Score
4904
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 09:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.3 IPS |
|
|
Image Classification (Q)
|
96% |
1436
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14634
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
27061
31.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
20762
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
2318
184.5 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
5379
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3234
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10539
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7218
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24533
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38953
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30210
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4701
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7168
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4489
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3053
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4918
85.0 IPS |
