| User | MrCrispr |
| Upload Date | January 28 2026 05:32 PM |
| Views | 6 |
| 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, 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% |
6945
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
18739
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9348
151.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9634
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25950
420.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29009
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29331
34.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
119915
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
8700
690.1 IPS |
|
|
Object Detection (HP)
|
100% |
8040
637.8 IPS |
|
|
Object Detection (Q)
|
88% |
20918
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
19060
226.5 IPS |
|
|
Face Detection (HP)
|
100% |
18617
221.2 IPS |
|
|
Face Detection (Q)
|
100% |
57941
688.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22183
170.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22864
176.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
65809
512.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78968
101.5 IPS |
|
|
Style Transfer (HP)
|
100% |
78347
100.7 IPS |
|
|
Style Transfer (Q)
|
98% |
282946
364.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14652
541.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15131
558.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39395
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4971
6.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6287
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
8711
150.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9085
156.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9355
161.1 IPS |