| User | fang1121cs |
| Upload Date | December 20 2024 02:32 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| 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% |
6671
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
6813
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
14488
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8534
138.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8702
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21168
343.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30777
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32070
37.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
122869
143.8 IPS |
|
|
Object Detection (SP)
|
100% |
7858
623.3 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.1 IPS |
|
|
Object Detection (Q)
|
88% |
16422
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
17150
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
18447
219.2 IPS |
|
|
Face Detection (Q)
|
100% |
47549
565.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23357
179.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23701
182.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
62625
487.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81684
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
82499
106.1 IPS |
|
|
Style Transfer (Q)
|
98% |
280985
362.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14435
533.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14244
526.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36424
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4548
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4682
6.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5730
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6922
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6862
118.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6453
111.1 IPS |