| User | darronb |
| Upload Date | November 10 2025 08:44 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3171
589.7 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (Q)
|
99% |
7882
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9066
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4851
5.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
21816
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
8079
649.3 IPS |
|
|
Face Detection (SP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
9766
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7685
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2700
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7586
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13748
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11936
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27237
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5967
220.9 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3781
76.0 IPS |