| User | MrCrispr |
| Upload Date | September 23 2024 01:37 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2701
502.3 IPS |
|
|
Image Classification (HP)
|
100% |
817
152.0 IPS |
|
|
Image Classification (Q)
|
99% |
6677
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3992
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28146
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16084
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
79740
93.5 IPS |
|
|
Object Detection (SP)
|
100% |
3426
271.7 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
88% |
3436
275.4 IPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
6812
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13152
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4052
31.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14637
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49076
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37981
48.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48504
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6913
256.0 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
614
822.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3801
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3887
86.7 IPS |