| User | MrCrispr |
| Upload Date | February 01 2026 07:32 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% |
9507
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9424
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
22467
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25532
413.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17454
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17439
20.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
71675
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
7955
631.0 IPS |
|
|
Object Detection (HP)
|
100% |
7961
631.5 IPS |
|
|
Object Detection (Q)
|
88% |
23873
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
16406
194.9 IPS |
|
|
Face Detection (HP)
|
100% |
15652
186.0 IPS |
|
|
Face Detection (Q)
|
100% |
58087
690.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18937
145.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18772
144.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
63971
497.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48989
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49359
63.5 IPS |
|
|
Style Transfer (Q)
|
98% |
185987
239.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10902
402.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11279
416.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34595
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7285
9.72 KIPS |
|
|
Text Classification (HP)
|
100% |
7278
9.71 KIPS |
|
|
Text Classification (Q)
|
92% |
9829
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
11454
197.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11932
205.5 IPS |
|
|
Machine Translation (Q)
|
100% |
15185
261.6 IPS |