Mac Studio
Geekbench AI Score
3807
Single Precision Score
5599
Half Precision Score
4740
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | March 05 2025 10:44 PM |
| Views | 9 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.7 IPS |
|
|
Image Classification (Q)
|
96% |
1394
260.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2592
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15399
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25705
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20429
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2314
184.2 IPS |
|
|
Object Detection (Q)
|
94% |
1660
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5327
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3059
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5850
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10640
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7238
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22976
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35367
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27714
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6745
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4154
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2377
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4698
81.2 IPS |
