Mac Studio
Geekbench AI Score
2274
Single Precision Score
3574
Half Precision Score
2895
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rrg |
| Upload Date | August 21 2024 04:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.13 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (Q)
|
99% |
1483
276.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4525
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
10328
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7782
9.12 IPS |
|
|
Object Detection (SP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (HP)
|
97% |
1676
133.4 IPS |
|
|
Object Detection (Q)
|
94% |
1362
108.6 IPS |
|
|
Face Detection (SP)
|
100% |
2273
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
2437
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3873
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6323
48.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3067
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11550
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (Q)
|
100% |
17967
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2704
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2512
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3151
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2615
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2498
43.2 IPS |
