| User | paulofduarte |
| Upload Date | November 16 2024 05:58 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Apple Silicon |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Parallels International GmbH. Parallels ARM Virtual Machine |
| Motherboard | Parallels ARM Virtual Machine Parallels ARM Virtual Platform |
| Power Plan | Parallels |
| CPU Information | |
|---|---|
| Name | Apple Silicon |
| Topology | 4 Processors, 4 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 0 Revision 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
| Type | DRAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (Q)
|
99% |
2994
558.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2924
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2470
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3971
4.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
9473
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.2 IPS |
|
|
Object Detection (HP)
|
99% |
674
53.6 IPS |
|
|
Object Detection (Q)
|
88% |
3172
254.3 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
3874
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1366
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2080
16.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7117
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6225
8.00 IPS |
|
|
Style Transfer (HP)
|
100% |
6821
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
18137
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3207
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
521
694.8 IPS |
|
|
Text Classification (Q)
|
97% |
1504
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1850
32.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3120
69.6 IPS |