| Upload Date | November 20 2025 10:57 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6257
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
1002
186.3 IPS |
|
|
Image Classification (Q)
|
99% |
11911
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4548
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10677
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8346
9.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
37343
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
5256
416.9 IPS |
|
|
Object Detection (HP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (Q)
|
86% |
12434
999.3 IPS |
|
|
Face Detection (SP)
|
100% |
6511
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
12724
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12382
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3529
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23383
186.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25023
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19864
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21586
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6513
241.2 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2667
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3966
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5300
106.5 IPS |