Mac Studio
Geekbench AI Score
3801
Single Precision Score
5684
Half Precision Score
4770
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neotrope |
| Upload Date | December 29 2024 09:24 PM |
| Views | 9 |
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 | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1895
352.4 IPS |
|
|
Image Classification (Q)
|
96% |
1408
262.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2578
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16005
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26139
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21098
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2304
183.4 IPS |
|
|
Object Detection (Q)
|
94% |
1666
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5854
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10910
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7269
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22132
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37277
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28850
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6765
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4142
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2622
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4615
79.7 IPS |
