Mac Studio
Geekbench AI Score
3404
Single Precision Score
14549
Half Precision Score
14469
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | scntech |
| Upload Date | October 12 2024 07:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 2.99 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.8 IPS |
|
|
Image Classification (HP)
|
100% |
5864
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5673
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9245
149.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9699
157.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12920
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70548
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66651
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
7026
558.9 IPS |
|
|
Object Detection (Q)
|
91% |
6564
524.5 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
14237
169.2 IPS |
|
|
Face Detection (Q)
|
100% |
14136
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48878
376.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
49569
387.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20969
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117647
151.2 IPS |
|
|
Style Transfer (Q)
|
96% |
113497
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23207
856.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25084
926.2 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3017
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2778
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2777
48.0 IPS |
