| User | MrCrispr |
| Upload Date | February 01 2026 07:53 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, 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% |
9521
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
22955
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9463
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25520
413.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17597
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18057
21.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
72050
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
7931
629.1 IPS |
|
|
Object Detection (HP)
|
100% |
8112
643.5 IPS |
|
|
Object Detection (Q)
|
88% |
23943
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
16079
191.1 IPS |
|
|
Face Detection (HP)
|
100% |
15915
189.1 IPS |
|
|
Face Detection (Q)
|
100% |
57267
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19445
149.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19343
149.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
65418
509.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49935
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49188
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
187684
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11754
434.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34871
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7472
9.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7533
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9637
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12013
206.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11593
199.7 IPS |
|
|
Machine Translation (Q)
|
100% |
15468
266.4 IPS |