| User | SGHphoto |
| Upload Date | January 07 2025 05:28 AM |
| Views | 7 |
| 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. PRIME X670-P WIFI |
| Power Plan | Bitsum Highest 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% |
3488
648.7 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.2 IPS |
|
|
Image Classification (Q)
|
99% |
8761
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4201
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9693
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7159
8.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
40213
47.1 IPS |
|
|
Object Detection (SP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (HP)
|
100% |
699
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
10252
823.9 IPS |
|
|
Face Detection (SP)
|
100% |
7551
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
12529
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10496
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2521
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20514
163.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19757
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19030
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43759
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2655
98.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3740
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.2 IPS |
|
|
Text Classification (Q)
|
97% |
1514
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3715
74.6 IPS |