| User | over_time_ |
| Upload Date | May 24 2025 06:12 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| 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 | Hchstleistung |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11770
2.19 KIPS |
|
|
Image Classification (HP)
|
100% |
11241
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
9698
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21479
348.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16613
269.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17422
283.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
190722
222.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
288746
336.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
157387
184.4 IPS |
|
|
Object Detection (SP)
|
100% |
14018
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
14122
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
11816
949.0 IPS |
|
|
Face Detection (SP)
|
100% |
40396
480.0 IPS |
|
|
Face Detection (HP)
|
100% |
43923
521.9 IPS |
|
|
Face Detection (Q)
|
97% |
31750
378.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
66701
513.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
72454
558.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
50698
407.1 IPS |
|
|
Style Transfer (SP)
|
100% |
319747
411.0 IPS |
|
|
Style Transfer (HP)
|
100% |
431447
554.6 IPS |
|
|
Style Transfer (Q)
|
98% |
256287
330.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40675
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47676
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29797
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2411
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6197
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6418
110.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3223
60.4 IPS |