| Upload Date | December 02 2025 08:11 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix GA15DH_G15DH |
| Motherboard | ASUSTeK COMPUTER INC. GA15DH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5639
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
9372
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
4337
808.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9191
149.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12563
203.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7466
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
60283
70.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
204366
238.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
51396
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
6559
520.2 IPS |
|
|
Object Detection (HP)
|
100% |
11011
873.4 IPS |
|
|
Object Detection (Q)
|
84% |
5074
409.2 IPS |
|
|
Face Detection (SP)
|
100% |
16507
196.1 IPS |
|
|
Face Detection (HP)
|
100% |
25083
298.0 IPS |
|
|
Face Detection (Q)
|
97% |
13355
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33201
255.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59238
456.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
23412
187.1 IPS |
|
|
Style Transfer (SP)
|
100% |
109537
140.8 IPS |
|
|
Style Transfer (HP)
|
100% |
256143
329.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91729
118.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19552
722.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30208
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11889
440.2 IPS |
|
|
Text Classification (SP)
|
100% |
1935
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2792
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1401
26.3 IPS |