| User | drive5600x |
| Upload Date | August 02 2025 04:37 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8556
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8497
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
20258
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9589
155.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9446
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25010
405.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16509
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16589
19.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
67180
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
8778
696.2 IPS |
|
|
Object Detection (HP)
|
100% |
8760
694.8 IPS |
|
|
Object Detection (Q)
|
88% |
22385
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
27541
327.2 IPS |
|
|
Face Detection (HP)
|
100% |
23552
279.9 IPS |
|
|
Face Detection (Q)
|
100% |
46414
551.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21909
168.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22501
173.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
60719
472.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47835
61.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48261
62.0 IPS |
|
|
Style Transfer (Q)
|
98% |
170345
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10544
389.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10684
394.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31515
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
6464
8.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6544
8.73 KIPS |
|
|
Text Classification (Q)
|
92% |
8938
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11812
203.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11762
202.6 IPS |
|
|
Machine Translation (Q)
|
100% |
14170
244.1 IPS |