| User | MrZakioPCUK |
| Upload Date | August 04 2025 03:40 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA TITAN X (Pascal) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520M K V2 |
| Motherboard | Gigabyte Technology Co., Ltd. A520M K V2 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3863
718.4 IPS |
|
|
Image Classification (HP)
|
100% |
4898
910.9 IPS |
|
|
Image Classification (Q)
|
99% |
3132
584.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8072
130.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7808
126.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6139
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
89791
104.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
50485
58.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
67447
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
6205
492.2 IPS |
|
|
Object Detection (Q)
|
84% |
3710
299.2 IPS |
|
|
Face Detection (SP)
|
100% |
8860
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
12655
150.4 IPS |
|
|
Face Detection (Q)
|
97% |
7152
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27639
212.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22843
176.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
19546
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
151221
194.4 IPS |
|
|
Style Transfer (HP)
|
100% |
78129
100.4 IPS |
|
|
Style Transfer (Q)
|
98% |
109257
140.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25061
925.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17616
650.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13871
513.6 IPS |
|
|
Text Classification (SP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3510
60.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1592
29.9 IPS |