| User | tester_one |
| Upload Date | March 13 2025 02:50 PM |
| Views | 9 |
| 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 i5-12500E |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
99% |
4098
764.4 IPS |
|
|
Image Classification (Q)
|
99% |
1847
344.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5136
83.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15675
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
58849
68.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13713
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
5177
410.6 IPS |
|
|
Object Detection (Q)
|
83% |
2152
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
5218
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
8749
104.0 IPS |
|
|
Face Detection (Q)
|
97% |
4445
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10289
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23384
180.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
8160
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26867
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
76184
97.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22996
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6637
245.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12153
448.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (HP)
|
99% |
2251
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
883
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2284
39.5 IPS |
|
|
Machine Translation (Q)
|
70% |
950
17.8 IPS |