| User | tester_one |
| Upload Date | March 11 2025 11:27 PM |
| Views | 6 |
| 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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
99% |
4173
778.3 IPS |
|
|
Image Classification (Q)
|
99% |
1796
335.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5049
81.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2583
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15609
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
58141
67.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13668
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
5165
409.7 IPS |
|
|
Object Detection (Q)
|
83% |
2119
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
5200
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
8584
102.0 IPS |
|
|
Face Detection (Q)
|
97% |
4163
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9902
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21806
168.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7867
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26191
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
73381
94.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22571
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6213
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11233
414.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4313
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2219
2.96 KIPS |
|
|
Text Classification (Q)
|
97% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2209
38.2 IPS |
|
|
Machine Translation (Q)
|
70% |
879
16.5 IPS |