Mac Studio
Geekbench AI Score
2649
Single Precision Score
4075
Half Precision Score
3421
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:42 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (Q)
|
99% |
1540
287.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5543
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13097
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11182
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
1876
149.3 IPS |
|
|
Object Detection (Q)
|
94% |
1461
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2626
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5053
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7859
60.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3636
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14319
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23148
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23145
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3211
118.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3220
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3110
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3115
53.8 IPS |
