| User | MrCrispr |
| Upload Date | August 31 2025 01:38 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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 |
| 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% |
7074
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7661
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
18486
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9464
153.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9816
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28684
465.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31208
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31429
36.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
127473
149.2 IPS |
|
|
Object Detection (SP)
|
100% |
8960
710.7 IPS |
|
|
Object Detection (HP)
|
100% |
9281
736.1 IPS |
|
|
Object Detection (Q)
|
88% |
21781
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
17342
206.1 IPS |
|
|
Face Detection (HP)
|
100% |
19443
231.0 IPS |
|
|
Face Detection (Q)
|
100% |
55562
660.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24557
189.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24467
188.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
71579
557.0 IPS |
|
|
Style Transfer (SP)
|
100% |
82219
105.7 IPS |
|
|
Style Transfer (HP)
|
100% |
82625
106.2 IPS |
|
|
Style Transfer (Q)
|
98% |
296127
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15407
568.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15268
563.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40132
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4956
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
8591
148.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9383
161.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9465
163.0 IPS |