| User | MrCrispr |
| Upload Date | February 01 2026 04:48 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% |
9618
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9142
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
22909
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9429
152.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9267
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24527
397.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17433
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17271
20.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
70390
82.4 IPS |
|
|
Object Detection (SP)
|
100% |
7634
605.5 IPS |
|
|
Object Detection (HP)
|
100% |
7666
608.1 IPS |
|
|
Object Detection (Q)
|
88% |
24129
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
14946
177.6 IPS |
|
|
Face Detection (HP)
|
100% |
14692
174.6 IPS |
|
|
Face Detection (Q)
|
100% |
56163
667.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17857
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17602
135.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
62696
487.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49260
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49510
63.6 IPS |
|
|
Style Transfer (Q)
|
98% |
191208
246.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11286
416.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11214
414.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35100
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
7587
10.1 KIPS |
|
|
Text Classification (HP)
|
100% |
7568
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10156
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
9794
168.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10124
174.4 IPS |
|
|
Machine Translation (Q)
|
100% |
14422
248.4 IPS |