| User | MrCrispr |
| Upload Date | August 29 2025 03:46 AM |
| Views | 4 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7270
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7205
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
18668
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9434
152.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9532
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26908
436.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30927
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30886
36.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
124224
145.4 IPS |
|
|
Object Detection (SP)
|
100% |
8263
655.4 IPS |
|
|
Object Detection (HP)
|
100% |
8132
645.0 IPS |
|
|
Object Detection (Q)
|
88% |
20987
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
17650
209.7 IPS |
|
|
Face Detection (HP)
|
100% |
18882
224.4 IPS |
|
|
Face Detection (Q)
|
100% |
60830
722.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23448
180.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24819
191.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
69858
543.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80874
104.0 IPS |
|
|
Style Transfer (HP)
|
100% |
80257
103.2 IPS |
|
|
Style Transfer (Q)
|
98% |
293625
378.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14604
539.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15034
555.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39065
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4926
6.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5119
6.83 KIPS |
|
|
Text Classification (Q)
|
92% |
6570
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
8858
152.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8818
151.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9783
168.5 IPS |