| User | jiashu |
| Upload Date | March 14 2026 07:06 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17191
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
17997
3.35 KIPS |
|
|
Image Classification (Q)
|
99% |
14907
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26427
428.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24169
391.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
23928
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
293256
342.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
524617
612.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
259261
303.7 IPS |
|
|
Object Detection (SP)
|
100% |
20345
1.61 KIPS |
|
|
Object Detection (HP)
|
99% |
21893
1.74 KIPS |
|
|
Object Detection (Q)
|
87% |
17731
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
50299
597.7 IPS |
|
|
Face Detection (HP)
|
100% |
56761
674.4 IPS |
|
|
Face Detection (Q)
|
97% |
44265
527.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81451
627.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105867
815.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
64671
518.3 IPS |
|
|
Style Transfer (SP)
|
100% |
469817
604.0 IPS |
|
|
Style Transfer (HP)
|
100% |
727913
935.7 IPS |
|
|
Style Transfer (Q)
|
98% |
411991
531.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54295
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69987
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42564
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4495
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4499
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2991
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6788
116.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6800
117.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3203
60.1 IPS |