Mac Studio
Geekbench AI Score
3838
Single Precision Score
5584
Half Precision Score
4784
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | November 16 2024 11:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 3.21 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.6 IPS |
|
|
Image Classification (Q)
|
99% |
1899
354.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2180
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15437
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26231
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
20654
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2302
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1668
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3050
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10811
83.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
10701
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22872
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37346
48.0 IPS |
|
|
Style Transfer (Q)
|
100% |
37986
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4525
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6746
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4193
155.4 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3660
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2371
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2322
40.1 IPS |
