| User | MrCrispr |
| Upload Date | February 01 2026 02:43 PM |
| 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 | 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% |
9104
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
8904
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
22358
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8652
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8761
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24687
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16992
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16953
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
69826
81.7 IPS |
|
|
Object Detection (SP)
|
100% |
7534
597.6 IPS |
|
|
Object Detection (HP)
|
100% |
7558
599.5 IPS |
|
|
Object Detection (Q)
|
88% |
23354
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
14359
170.6 IPS |
|
|
Face Detection (HP)
|
100% |
14842
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
54950
652.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17650
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17614
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
59840
465.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47759
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48100
61.8 IPS |
|
|
Style Transfer (Q)
|
98% |
183393
236.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11003
406.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10851
400.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34582
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7311
9.76 KIPS |
|
|
Text Classification (HP)
|
100% |
7341
9.80 KIPS |
|
|
Text Classification (Q)
|
92% |
9913
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
9865
169.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10203
175.8 IPS |
|
|
Machine Translation (Q)
|
100% |
14706
253.3 IPS |