| Upload Date | December 08 2025 04:04 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Nexa 980 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | Balanced |
| 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% |
4713
876.4 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
99% |
13212
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4621
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10952
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9402
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
48346
56.7 IPS |
|
|
Object Detection (SP)
|
100% |
6359
504.4 IPS |
|
|
Object Detection (HP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (Q)
|
86% |
13344
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
15287
181.6 IPS |
|
|
Face Detection (HP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (Q)
|
97% |
15293
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14939
115.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3921
30.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
33591
268.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23703
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18580
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
40273
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3577
132.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6291
233.0 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2508
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6589
132.4 IPS |