Mac Studio
Geekbench AI Score
4058
Single Precision Score
6037
Half Precision Score
4996
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (Q)
|
96% |
1467
274.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2721
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15563
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27487
32.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21139
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1640
130.1 IPS |
|
|
Object Detection (HP)
|
97% |
2395
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10955
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7388
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24587
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38953
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30315
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3027
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5021
86.8 IPS |
