| User | MrCrispr |
| Upload Date | February 02 2026 01:44 AM |
| Views | 5 |
| 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% |
9886
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
9751
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
23597
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10377
168.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10310
167.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27659
448.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18479
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18476
21.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
74284
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
8638
685.2 IPS |
|
|
Object Detection (HP)
|
100% |
8717
691.5 IPS |
|
|
Object Detection (Q)
|
88% |
24763
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
18461
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
18233
216.6 IPS |
|
|
Face Detection (Q)
|
100% |
60935
724.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21016
161.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21009
161.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
70496
548.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52272
67.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53057
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
197637
254.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11929
440.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11819
436.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36045
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7711
10.3 KIPS |
|
|
Text Classification (HP)
|
100% |
7694
10.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10292
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
12790
220.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12479
215.0 IPS |
|
|
Machine Translation (Q)
|
100% |
15552
267.9 IPS |