| Upload Date | November 24 2025 11:48 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3527
655.9 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (Q)
|
99% |
8075
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3931
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6168
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4841
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
22739
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (HP)
|
100% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
86% |
8411
676.0 IPS |
|
|
Face Detection (SP)
|
100% |
7156
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
9983
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7905
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16373
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15580
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12911
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25742
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4317
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4700
94.4 IPS |