| User | tester_one |
| Upload Date | March 13 2025 06:03 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1773
329.8 IPS |
|
|
Image Classification (HP)
|
99% |
4015
748.9 IPS |
|
|
Image Classification (Q)
|
99% |
1553
289.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15233
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54771
63.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13405
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
5191
411.7 IPS |
|
|
Object Detection (Q)
|
83% |
1831
148.0 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7110
84.5 IPS |
|
|
Face Detection (Q)
|
97% |
4000
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9630
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21980
169.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7764
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26018
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72248
92.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22242
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5938
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10861
401.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4045
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2219
2.96 KIPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2068
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
857
16.1 IPS |