| User | vbour |
| Upload Date | June 16 2025 02:52 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.52 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8258
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8354
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
20566
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7870
127.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7874
127.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18441
298.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15276
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15552
18.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
63710
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
7271
576.7 IPS |
|
|
Object Detection (HP)
|
100% |
7376
585.1 IPS |
|
|
Object Detection (Q)
|
88% |
21622
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
15472
183.8 IPS |
|
|
Face Detection (HP)
|
100% |
15436
183.4 IPS |
|
|
Face Detection (Q)
|
100% |
54221
644.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18255
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18142
139.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
60317
469.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43151
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43521
55.9 IPS |
|
|
Style Transfer (Q)
|
98% |
160589
207.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9762
360.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9851
363.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31410
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6921
9.24 KIPS |
|
|
Text Classification (HP)
|
100% |
6990
9.33 KIPS |
|
|
Text Classification (Q)
|
92% |
10501
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
10450
180.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10344
178.2 IPS |
|
|
Machine Translation (Q)
|
100% |
14087
242.7 IPS |