Mac Studio
Geekbench AI Score
3810
Single Precision Score
13006
Half Precision Score
13491
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | shailesh001 |
| Upload Date | August 16 2024 01:25 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
6027
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
6313
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5848
94.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5869
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16014
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
67957
79.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
64676
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
99% |
6761
537.8 IPS |
|
|
Object Detection (Q)
|
91% |
6880
549.8 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
10714
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
13220
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43779
337.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
46552
359.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22872
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114673
147.4 IPS |
|
|
Style Transfer (Q)
|
100% |
119464
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24025
887.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25070
928.8 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3636
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1808
31.2 IPS |
