| User | MrCrispr |
| Upload Date | August 31 2025 03:15 AM |
| Views | 8 |
| 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% |
7573
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7111
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
19382
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10039
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10397
168.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27583
447.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32723
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32087
37.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
129012
151.0 IPS |
|
|
Object Detection (SP)
|
100% |
8936
708.8 IPS |
|
|
Object Detection (HP)
|
100% |
9098
721.7 IPS |
|
|
Object Detection (Q)
|
88% |
21133
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
19533
232.1 IPS |
|
|
Face Detection (HP)
|
100% |
19655
233.5 IPS |
|
|
Face Detection (Q)
|
100% |
55490
659.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25485
196.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25567
197.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
73440
571.5 IPS |
|
|
Style Transfer (SP)
|
100% |
83557
107.4 IPS |
|
|
Style Transfer (HP)
|
100% |
82469
106.0 IPS |
|
|
Style Transfer (Q)
|
98% |
304657
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15480
571.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15408
569.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40542
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
92% |
6044
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
9408
162.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9198
158.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10022
172.6 IPS |