| Upload Date | November 06 2025 10:38 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD 4700S 8-Core Processor Desktop Kit |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 71 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2852
530.3 IPS |
|
|
Image Classification (HP)
|
100% |
3814
709.3 IPS |
|
|
Image Classification (Q)
|
99% |
2375
442.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4066
65.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3209
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47309
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
110810
129.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
40889
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
3285
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
4297
340.8 IPS |
|
|
Object Detection (Q)
|
84% |
2817
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
9365
111.3 IPS |
|
|
Face Detection (Q)
|
97% |
6460
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22570
173.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37042
285.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16749
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81028
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156293
200.9 IPS |
|
|
Style Transfer (Q)
|
98% |
68019
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12057
445.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18459
681.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8168
302.4 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
97% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
70% |
683
12.8 IPS |