| User | SybrenV |
| Upload Date | August 05 2025 08:04 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3825
711.4 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.6 IPS |
|
|
Image Classification (Q)
|
99% |
9167
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8521
138.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4297
5.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
17944
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
6983
561.2 IPS |
|
|
Face Detection (SP)
|
100% |
6450
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
9696
115.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6545
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2235
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14042
112.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12133
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11387
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24466
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5383
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1741
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2656
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3988
80.1 IPS |