| User | CircuitSphere |
| Upload Date | September 06 2024 02:10 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4932
917.2 IPS |
|
|
Image Classification (HP)
|
100% |
4870
905.6 IPS |
|
|
Image Classification (Q)
|
99% |
4241
791.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9828
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10007
162.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9512
154.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56820
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60027
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
52604
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
5072
402.3 IPS |
|
|
Object Detection (HP)
|
100% |
5237
415.4 IPS |
|
|
Object Detection (Q)
|
92% |
4092
326.7 IPS |
|
|
Face Detection (SP)
|
100% |
19756
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
20709
246.1 IPS |
|
|
Face Detection (Q)
|
100% |
14016
166.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26935
207.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27771
214.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
27747
214.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96868
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120350
154.7 IPS |
|
|
Style Transfer (Q)
|
100% |
118174
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17453
644.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17992
664.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13188
488.6 IPS |
|
|
Text Classification (SP)
|
100% |
326
435.1 IPS |
|
|
Text Classification (HP)
|
100% |
501
669.2 IPS |
|
|
Text Classification (Q)
|
93% |
467
626.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1192
20.6 IPS |