| User | MrCrispr |
| Upload Date | February 01 2026 02:38 PM |
| Views | 5 |
| 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% |
9318
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9048
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
22227
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8887
144.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8958
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23229
376.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17050
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17057
19.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
70044
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
7477
593.1 IPS |
|
|
Object Detection (HP)
|
100% |
7680
609.2 IPS |
|
|
Object Detection (Q)
|
88% |
23468
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
14453
171.7 IPS |
|
|
Face Detection (HP)
|
100% |
13978
166.1 IPS |
|
|
Face Detection (Q)
|
100% |
56898
676.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17299
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17315
133.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
61264
476.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48022
61.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48868
62.8 IPS |
|
|
Style Transfer (Q)
|
98% |
183182
236.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10689
394.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10736
396.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33550
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
7361
9.82 KIPS |
|
|
Text Classification (HP)
|
100% |
7319
9.77 KIPS |
|
|
Text Classification (Q)
|
92% |
9846
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
9762
168.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9814
169.0 IPS |
|
|
Machine Translation (Q)
|
100% |
14484
249.5 IPS |