| User | drive5600x |
| Upload Date | August 14 2025 08:47 AM |
| Views | 5 |
| 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% |
13457
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
13105
2.44 KIPS |
|
|
Image Classification (Q)
|
99% |
10758
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23763
385.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18667
302.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18833
306.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
199560
232.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
310168
361.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
167851
196.7 IPS |
|
|
Object Detection (SP)
|
100% |
15286
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
15156
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
12508
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
44464
528.3 IPS |
|
|
Face Detection (HP)
|
100% |
47835
568.4 IPS |
|
|
Face Detection (Q)
|
97% |
34958
416.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
76956
592.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82857
638.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
56869
456.7 IPS |
|
|
Style Transfer (SP)
|
100% |
370793
476.7 IPS |
|
|
Style Transfer (HP)
|
100% |
496777
638.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294916
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44814
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51209
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31687
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4414
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2645
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6901
118.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7206
124.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3602
67.6 IPS |