| User | Maddog54 |
| Upload Date | March 27 2026 09:32 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4330
805.3 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
99% |
8854
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8073
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15218
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10481
12.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
44084
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
4455
353.4 IPS |
|
|
Object Detection (HP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (Q)
|
86% |
8821
709.0 IPS |
|
|
Face Detection (SP)
|
100% |
8428
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
1526
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
11476
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11798
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3034
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22226
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29561
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26597
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37503
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5072
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
442
592.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3877
77.9 IPS |