| User | BantalBambu |
| Upload Date | December 13 2025 03:44 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4308
801.2 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.6 IPS |
|
|
Image Classification (Q)
|
99% |
6026
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6757
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4594
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4124
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
16411
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
6087
489.2 IPS |
|
|
Face Detection (SP)
|
100% |
6238
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
9088
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6319
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2091
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8201
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19150
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10613
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25654
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4756
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3386
68.0 IPS |