| User | drive5600x |
| Upload Date | August 06 2025 04:16 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12650
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13159
2.45 KIPS |
|
|
Image Classification (Q)
|
99% |
10112
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23035
373.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18689
303.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18952
308.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
198189
231.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
311001
362.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
161956
189.8 IPS |
|
|
Object Detection (SP)
|
100% |
14035
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
15388
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
11477
921.8 IPS |
|
|
Face Detection (SP)
|
100% |
42007
499.1 IPS |
|
|
Face Detection (HP)
|
100% |
45528
541.0 IPS |
|
|
Face Detection (Q)
|
97% |
33665
401.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
72475
558.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76318
588.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
53408
428.9 IPS |
|
|
Style Transfer (SP)
|
100% |
360339
463.2 IPS |
|
|
Style Transfer (HP)
|
100% |
487295
626.4 IPS |
|
|
Style Transfer (Q)
|
98% |
297175
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41252
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51498
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31343
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4225
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4474
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2640
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
7022
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7269
125.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3426
64.3 IPS |