| User | rgba |
| Upload Date | July 04 2025 09:21 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| 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% |
8792
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
8700
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
21166
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9709
157.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9733
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26173
424.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16982
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16954
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
66255
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
8406
666.8 IPS |
|
|
Object Detection (HP)
|
100% |
8553
678.4 IPS |
|
|
Object Detection (Q)
|
88% |
22770
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
25066
297.8 IPS |
|
|
Face Detection (HP)
|
100% |
25026
297.4 IPS |
|
|
Face Detection (Q)
|
100% |
56404
670.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21088
162.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21474
165.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
60454
470.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45627
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47313
60.8 IPS |
|
|
Style Transfer (Q)
|
98% |
161943
208.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9998
369.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30703
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
6631
8.85 KIPS |
|
|
Text Classification (HP)
|
100% |
6628
8.85 KIPS |
|
|
Text Classification (Q)
|
92% |
8808
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
11107
191.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11358
195.6 IPS |
|
|
Machine Translation (Q)
|
100% |
13901
239.5 IPS |