| Upload Date | December 08 2025 05:34 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| Power Plan | Balanced |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2960
550.6 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
99% |
7518
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3409
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4701
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
20887
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
7270
584.2 IPS |
|
|
Face Detection (SP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
8640
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7556
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2539
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7608
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13702
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12117
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18042
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2387
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3485
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1969
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2816
56.6 IPS |