| Upload Date | November 20 2025 08:35 AM |
| Views | 2 |
| 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% |
3625
674.2 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.8 IPS |
|
|
Image Classification (Q)
|
99% |
8111
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3929
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6627
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5645
6.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
23690
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3412
270.6 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
86% |
8483
681.7 IPS |
|
|
Face Detection (SP)
|
100% |
8005
95.1 IPS |
|
|
Face Detection (HP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
10476
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8276
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2906
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17572
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16781
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13680
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28853
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3150
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4494
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4225
84.9 IPS |