| User | MrCrispr |
| Upload Date | February 01 2026 11:23 PM |
| 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 | 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% |
9818
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
9713
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
23491
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10042
162.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10083
163.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26647
432.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18304
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18236
21.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
73985
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
8412
667.3 IPS |
|
|
Object Detection (HP)
|
100% |
8450
670.3 IPS |
|
|
Object Detection (Q)
|
88% |
24197
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
17845
212.0 IPS |
|
|
Face Detection (HP)
|
100% |
17666
209.9 IPS |
|
|
Face Detection (Q)
|
100% |
60627
720.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20261
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20656
159.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
69016
537.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51415
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50902
65.4 IPS |
|
|
Style Transfer (Q)
|
98% |
188888
243.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11837
437.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11803
435.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35261
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7606
10.2 KIPS |
|
|
Text Classification (HP)
|
100% |
7597
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10304
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
12074
208.0 IPS |
|
|
Machine Translation (HP)
|
100% |
12073
208.0 IPS |
|
|
Machine Translation (Q)
|
100% |
15564
268.1 IPS |