| Upload Date | November 14 2025 11:14 AM |
| Views | 2 |
| 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% |
6173
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (Q)
|
99% |
12298
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4684
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10699
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8109
9.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
38911
45.6 IPS |
|
|
Object Detection (SP)
|
100% |
5595
443.8 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
86% |
12508
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
9230
109.7 IPS |
|
|
Face Detection (HP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
13148
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14587
112.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3812
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26180
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26234
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18588
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35158
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6498
240.6 IPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2639
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3986
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5576
112.0 IPS |