| User | MrCrispr |
| Upload Date | August 31 2025 02:13 AM |
| Views | 9 |
| 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% |
7770
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7515
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
19010
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9890
160.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9823
159.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27123
439.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31658
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31656
36.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
127634
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
9510
754.3 IPS |
|
|
Object Detection (HP)
|
100% |
8785
696.9 IPS |
|
|
Object Detection (Q)
|
88% |
21561
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
19119
227.2 IPS |
|
|
Face Detection (HP)
|
100% |
19971
237.3 IPS |
|
|
Face Detection (Q)
|
100% |
55795
663.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24484
188.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25366
195.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
68007
529.2 IPS |
|
|
Style Transfer (SP)
|
100% |
83403
107.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82264
105.8 IPS |
|
|
Style Transfer (Q)
|
98% |
302533
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15604
576.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15440
570.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41323
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5092
6.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
92% |
6089
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
8922
153.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9102
156.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10049
173.1 IPS |