| User | linuxid10t |
| Upload Date | January 13 2025 12:07 AM |
| Views | 28 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X370-PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13233
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
13266
2.47 KIPS |
|
|
Image Classification (Q)
|
99% |
11401
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14879
241.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13818
224.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13940
226.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
254587
297.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
363980
424.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
231085
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
13232
1.05 KIPS |
|
|
Object Detection (HP)
|
99% |
14208
1.13 KIPS |
|
|
Object Detection (Q)
|
87% |
11878
953.9 IPS |
|
|
Face Detection (SP)
|
100% |
35081
416.8 IPS |
|
|
Face Detection (HP)
|
100% |
38141
453.2 IPS |
|
|
Face Detection (Q)
|
97% |
31735
378.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78249
602.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86452
666.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
63661
510.2 IPS |
|
|
Style Transfer (SP)
|
100% |
409990
527.0 IPS |
|
|
Style Transfer (HP)
|
100% |
572136
735.5 IPS |
|
|
Style Transfer (Q)
|
98% |
364402
469.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45963
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56723
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37149
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2643
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2213
41.5 IPS |