Mac Studio
Geekbench AI Score
3822
Single Precision Score
5662
Half Precision Score
4757
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Mizar |
| Upload Date | March 10 2025 09:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
1892
351.9 IPS |
|
|
Image Classification (Q)
|
96% |
1404
262.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2573
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15881
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25844
30.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20791
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2322
184.9 IPS |
|
|
Object Detection (Q)
|
94% |
1664
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
5150
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3123
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10759
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7176
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22514
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35757
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27864
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6835
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4146
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2685
46.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4728
81.7 IPS |
