| Upload Date | November 20 2025 10:47 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% |
6280
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (Q)
|
99% |
12128
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4702
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11386
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
39650
46.5 IPS |
|
|
Object Detection (SP)
|
100% |
5697
451.9 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
86% |
12598
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
9629
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
13382
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14235
109.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3929
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
25170
200.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26607
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19372
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33838
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6531
241.8 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2642
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5559
111.7 IPS |