Mac Studio
Geekbench AI Score
3804
Single Precision Score
5657
Half Precision Score
4753
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | blix742 |
| Upload Date | February 10 2025 10:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1275
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
1899
353.1 IPS |
|
|
Image Classification (Q)
|
96% |
1408
263.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15371
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25710
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21135
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2315
184.3 IPS |
|
|
Object Detection (Q)
|
94% |
1658
132.1 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
4985
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
3012
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5975
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10874
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7189
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22353
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36476
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28173
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6775
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4153
153.3 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2658
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4681
80.9 IPS |
