| User | tester_one |
| Upload Date | March 11 2025 10:25 PM |
| Views | 11 |
| 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 i3-12100E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (HP)
|
99% |
4084
761.8 IPS |
|
|
Image Classification (Q)
|
99% |
1680
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4862
78.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2442
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15450
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
56283
65.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13600
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
4956
393.1 IPS |
|
|
Object Detection (Q)
|
83% |
1956
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8271
98.3 IPS |
|
|
Face Detection (Q)
|
97% |
4412
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9875
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21885
168.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7860
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26291
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72856
93.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22552
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6384
235.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11206
413.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4339
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2244
2.99 KIPS |
|
|
Text Classification (Q)
|
97% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2196
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
884
16.6 IPS |