| Upload Date | December 04 2025 01:59 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6269
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
1037
192.8 IPS |
|
|
Image Classification (Q)
|
99% |
12122
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4816
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12178
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9366
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
39836
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
5534
438.9 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
86% |
12440
999.8 IPS |
|
|
Face Detection (SP)
|
100% |
9819
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
13186
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14812
114.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3992
30.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25184
201.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27235
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20533
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33809
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4127
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6573
243.4 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2638
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5357
107.7 IPS |