| User | MrCrispr |
| Upload Date | September 25 2024 05:49 AM |
| Views | 13 |
| 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% |
7111
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7612
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
16477
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8825
143.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9547
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18193
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32914
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32638
38.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
130252
152.5 IPS |
|
|
Object Detection (SP)
|
100% |
8470
671.8 IPS |
|
|
Object Detection (HP)
|
100% |
8684
688.8 IPS |
|
|
Object Detection (Q)
|
88% |
19430
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
18590
220.9 IPS |
|
|
Face Detection (HP)
|
100% |
19098
226.9 IPS |
|
|
Face Detection (Q)
|
100% |
50036
594.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25609
197.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26291
202.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
67246
523.2 IPS |
|
|
Style Transfer (SP)
|
100% |
85170
109.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85489
109.9 IPS |
|
|
Style Transfer (Q)
|
98% |
301891
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15402
568.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16238
599.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39775
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
7525
129.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7606
131.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7178
123.6 IPS |