| User | Polaris10XT |
| Upload Date | October 26 2025 12:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6328
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
5989
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
5553
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9078
147.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7237
117.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7757
126.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
73607
85.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123741
144.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
62718
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
5539
439.4 IPS |
|
|
Object Detection (HP)
|
100% |
6988
554.3 IPS |
|
|
Object Detection (Q)
|
87% |
4910
394.4 IPS |
|
|
Face Detection (SP)
|
100% |
17531
208.3 IPS |
|
|
Face Detection (HP)
|
100% |
21172
251.6 IPS |
|
|
Face Detection (Q)
|
97% |
14453
172.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35598
274.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42504
327.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
28242
226.8 IPS |
|
|
Style Transfer (SP)
|
100% |
149200
191.8 IPS |
|
|
Style Transfer (HP)
|
100% |
195720
251.6 IPS |
|
|
Style Transfer (Q)
|
98% |
122356
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24635
909.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29796
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18045
668.2 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1880
35.3 IPS |