| Upload Date | February 22 2026 11:06 AM |
| Views | 6 |
| 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. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Hj ydeevne |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| 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% |
8992
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (Q)
|
99% |
15376
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2810
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18577
302.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18315
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14582
17.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
58297
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
8966
711.2 IPS |
|
|
Object Detection (HP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (Q)
|
86% |
16115
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
22722
270.0 IPS |
|
|
Face Detection (HP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
16887
201.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23879
184.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5219
40.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
40542
323.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42347
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29938
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50628
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6508
240.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5543
204.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7166
265.3 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1585
2.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2666
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6337
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6363
127.9 IPS |