| User | MrCrispr |
| Upload Date | September 15 2024 09:16 AM |
| Views | 11 |
| 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% |
2525
469.5 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (Q)
|
99% |
6634
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4037
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30572
35.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18287
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
85754
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
3389
268.8 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
88% |
3333
267.2 IPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
7299
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13463
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3962
30.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13752
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47560
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39906
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
55822
72.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4211
155.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6489
240.3 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
597
800.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3903
87.1 IPS |