Mac Studio
Geekbench AI Score
3766
Single Precision Score
5769
Half Precision Score
4991
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | May 17 2025 03:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.0 IPS |
|
|
Image Classification (Q)
|
99% |
1908
355.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2060
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15527
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25951
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
19117
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2250
179.1 IPS |
|
|
Object Detection (Q)
|
94% |
1625
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
3062
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10130
78.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
9920
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23779
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34584
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35826
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4268
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5944
219.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4120
152.6 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4480
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4450
76.9 IPS |
