| Upload Date | October 29 2025 08:19 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650-PLUS WIFI |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| 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% |
2845
529.0 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (Q)
|
99% |
7962
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3528
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5231
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
22754
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
86% |
7727
621.0 IPS |
|
|
Face Detection (SP)
|
100% |
5649
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
10080
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2366
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8302
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13145
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11930
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27854
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3750
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1865
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3253
65.4 IPS |