| User | Andy_1981 |
| Upload Date | February 13 2026 05:37 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M FORCE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850M FORCE WIFI6E |
| Power Plan | Ausbalanciert |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9127
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
1327
246.9 IPS |
|
|
Image Classification (Q)
|
99% |
15496
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18655
303.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18642
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14448
16.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
59834
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
9100
721.8 IPS |
|
|
Object Detection (HP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (Q)
|
86% |
16197
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
23038
273.7 IPS |
|
|
Face Detection (HP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (Q)
|
97% |
16895
201.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24185
186.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5163
39.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
40970
326.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42233
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30473
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51015
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6665
246.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5632
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7255
268.6 IPS |
|
|
Text Classification (SP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1585
2.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2668
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6365
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6406
128.7 IPS |