| User | kuzia9 |
| Upload Date | March 06 2025 08:28 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2963
550.9 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
7622
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3630
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5623
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4868
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
24056
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2987
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
7543
606.2 IPS |
|
|
Face Detection (SP)
|
100% |
5825
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
9539
113.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2358
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6880
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13581
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11848
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29175
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2382
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3763
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3345
67.2 IPS |