| User | tester_one |
| Upload Date | March 11 2025 11:50 PM |
| Views | 5 |
| 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% |
1876
348.9 IPS |
|
|
Image Classification (HP)
|
99% |
4026
750.9 IPS |
|
|
Image Classification (Q)
|
99% |
1641
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15485
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
56056
65.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13554
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
4855
385.1 IPS |
|
|
Object Detection (Q)
|
83% |
1944
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8520
101.2 IPS |
|
|
Face Detection (Q)
|
97% |
4112
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9819
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21843
168.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7866
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26092
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72667
93.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22455
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11305
417.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4291
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
97% |
824
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2202
38.1 IPS |
|
|
Machine Translation (Q)
|
70% |
875
16.4 IPS |