Mac Studio
Geekbench AI Score
4095
Single Precision Score
6151
Half Precision Score
5035
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 14 2025 08:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (Q)
|
96% |
1475
275.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16461
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27900
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21883
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
2387
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5742
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3260
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6132
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11207
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7464
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24385
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39192
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30984
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4513
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3481
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5055
87.4 IPS |
