| User | MrCrispr |
| Upload Date | September 17 2024 06:46 AM |
| Views | 9 |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2877
535.1 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.4 IPS |
|
|
Image Classification (Q)
|
99% |
7141
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4208
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29627
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16162
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
87641
102.7 IPS |
|
|
Object Detection (SP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
88% |
3577
286.7 IPS |
|
|
Face Detection (SP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
7712
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14854
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4233
32.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16274
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47340
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38050
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
56436
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7071
261.8 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
619
828.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3619
80.7 IPS |