| User | MrCrispr |
| Upload Date | February 01 2026 02:57 PM |
| Views | 4 |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8811
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8893
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
22297
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8648
140.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8373
135.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22726
368.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17050
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16969
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
69612
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
7658
607.5 IPS |
|
|
Object Detection (HP)
|
100% |
7430
589.3 IPS |
|
|
Object Detection (Q)
|
88% |
23365
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
15029
178.6 IPS |
|
|
Face Detection (HP)
|
100% |
14730
175.0 IPS |
|
|
Face Detection (Q)
|
100% |
56281
668.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17453
134.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17519
135.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
59434
462.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47974
61.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47421
61.0 IPS |
|
|
Style Transfer (Q)
|
98% |
185553
239.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10546
389.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10885
401.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34466
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7355
9.82 KIPS |
|
|
Text Classification (HP)
|
100% |
7299
9.74 KIPS |
|
|
Text Classification (Q)
|
92% |
9741
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
9529
164.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10420
179.5 IPS |
|
|
Machine Translation (Q)
|
100% |
14775
254.5 IPS |