| User | drive5600x |
| Upload Date | August 03 2025 05:06 AM |
| Views | 10 |
| 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% |
8332
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8200
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
19766
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9252
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9344
151.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24499
397.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16166
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
64715
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (HP)
|
100% |
8483
672.9 IPS |
|
|
Object Detection (Q)
|
88% |
21565
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
26386
313.5 IPS |
|
|
Face Detection (HP)
|
100% |
26234
311.7 IPS |
|
|
Face Detection (Q)
|
100% |
54397
646.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22028
169.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22148
170.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
59259
461.2 IPS |
|
|
Style Transfer (SP)
|
100% |
45978
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46404
59.7 IPS |
|
|
Style Transfer (Q)
|
98% |
166363
214.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10181
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30057
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
6345
8.47 KIPS |
|
|
Text Classification (HP)
|
100% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
92% |
8719
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
11564
199.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11477
197.7 IPS |
|
|
Machine Translation (Q)
|
100% |
14013
241.4 IPS |