| User | MrCrispr |
| Upload Date | October 19 2024 09:30 AM |
| Views | 19 |
| 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% |
7267
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
16507
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9497
153.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9036
146.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18754
304.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32277
37.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32722
38.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
131193
153.6 IPS |
|
|
Object Detection (SP)
|
100% |
8869
703.5 IPS |
|
|
Object Detection (HP)
|
100% |
9017
715.3 IPS |
|
|
Object Detection (Q)
|
88% |
19040
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
21128
251.0 IPS |
|
|
Face Detection (HP)
|
100% |
20136
239.3 IPS |
|
|
Face Detection (Q)
|
100% |
52469
623.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26776
206.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25723
198.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
69933
544.1 IPS |
|
|
Style Transfer (SP)
|
100% |
84247
108.3 IPS |
|
|
Style Transfer (HP)
|
100% |
84447
108.6 IPS |
|
|
Style Transfer (Q)
|
98% |
298676
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15781
582.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15757
581.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42581
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5826
7.78 KIPS |
|
|
Text Classification (Q)
|
92% |
6491
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
7708
132.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7722
133.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7325
126.2 IPS |