Mac Studio
Geekbench AI Score
3838
Single Precision Score
5721
Half Precision Score
4837
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | shailesh001 |
| Upload Date | August 16 2024 01:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (Q)
|
99% |
1863
347.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15954
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26551
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
19927
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
97% |
2199
175.1 IPS |
|
|
Object Detection (Q)
|
94% |
1657
132.1 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3095
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10832
83.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10759
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22663
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37107
47.7 IPS |
|
|
Style Transfer (Q)
|
100% |
36736
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4399
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6690
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4050
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3050
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2844
49.1 IPS |
