| User | tester_one |
| Upload Date | March 13 2025 02:40 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% |
1842
342.5 IPS |
|
|
Image Classification (HP)
|
99% |
3996
745.4 IPS |
|
|
Image Classification (Q)
|
99% |
1679
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5034
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2416
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15531
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56132
65.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13662
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
4863
385.7 IPS |
|
|
Object Detection (Q)
|
83% |
1997
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
7980
94.8 IPS |
|
|
Face Detection (Q)
|
97% |
4104
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9881
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22182
170.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7866
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26730
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73979
95.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22757
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6294
232.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11127
410.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4231
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2274
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
810
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2242
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
875
16.4 IPS |