| User | Poursang |
| Upload Date | October 03 2024 06:14 AM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| 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 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
99% |
4410
822.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3922
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9351
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7149
8.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
39399
46.2 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
88% |
2000
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6573
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8779
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2380
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
10305
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19593
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18289
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38020
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3572
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.4 IPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3057
68.2 IPS |