Mac Studio
Geekbench AI Score
3499
Single Precision Score
5171
Half Precision Score
4271
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | scntech |
| Upload Date | October 12 2024 07:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 2.99 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (HP)
|
100% |
1640
304.9 IPS |
|
|
Image Classification (Q)
|
96% |
1223
228.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2373
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13535
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23606
27.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18109
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2066
164.5 IPS |
|
|
Object Detection (Q)
|
94% |
1566
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
2964
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5259
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9144
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6429
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21755
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32439
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25906
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5997
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2992
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3254
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4298
74.3 IPS |
