| User | MrCrispr |
| Upload Date | October 11 2024 05:00 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7347
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7407
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
16016
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8775
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8824
143.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17970
291.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32943
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32644
38.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
131172
153.6 IPS |
|
|
Object Detection (SP)
|
100% |
8592
681.6 IPS |
|
|
Object Detection (HP)
|
100% |
8580
680.5 IPS |
|
|
Object Detection (Q)
|
88% |
18582
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
18822
223.6 IPS |
|
|
Face Detection (HP)
|
100% |
18691
222.1 IPS |
|
|
Face Detection (Q)
|
100% |
48036
570.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24396
188.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23324
179.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
65032
506.0 IPS |
|
|
Style Transfer (SP)
|
100% |
83518
107.4 IPS |
|
|
Style Transfer (HP)
|
100% |
83469
107.3 IPS |
|
|
Style Transfer (Q)
|
98% |
301437
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15562
574.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15309
565.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40589
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5402
7.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5279
7.05 KIPS |
|
|
Text Classification (Q)
|
92% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7215
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7432
128.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7207
124.2 IPS |