| User | drive5600x |
| Upload Date | August 31 2025 09:53 AM |
| Views | 4 |
| 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 | Ultimate Performance |
| 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% |
8453
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8487
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
19871
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9479
153.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9602
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25221
408.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15971
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16141
18.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
65446
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
8777
696.2 IPS |
|
|
Object Detection (HP)
|
100% |
8835
700.8 IPS |
|
|
Object Detection (Q)
|
88% |
22226
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
25677
305.1 IPS |
|
|
Face Detection (HP)
|
100% |
25599
304.2 IPS |
|
|
Face Detection (Q)
|
100% |
51575
612.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22215
171.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21399
164.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
61489
478.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45955
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46377
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
172742
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10697
395.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10468
386.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31177
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
6468
8.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
92% |
8564
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
11234
193.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11242
193.6 IPS |
|
|
Machine Translation (Q)
|
100% |
13322
229.5 IPS |