Mac Studio
Geekbench AI Score
3787
Single Precision Score
5812
Half Precision Score
5013
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | m00m4n |
| Upload Date | May 17 2025 03:40 AM |
| Views | 4 |
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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.3 IPS |
|
|
Image Classification (Q)
|
99% |
1908
355.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2069
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15869
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25981
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
20157
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2240
178.3 IPS |
|
|
Object Detection (Q)
|
94% |
1622
129.3 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
4900
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
2965
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5720
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10118
78.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
9925
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24203
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36542
47.0 IPS |
|
|
Style Transfer (Q)
|
100% |
36963
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6158
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4150
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4374
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4397
76.0 IPS |
