| Upload Date | November 12 2025 12:33 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Balanced |
| 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 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7282
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
19877
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8207
133.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7975
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22794
369.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10990
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10697
12.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
50783
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
6891
546.6 IPS |
|
|
Object Detection (HP)
|
100% |
6743
534.8 IPS |
|
|
Object Detection (Q)
|
88% |
21179
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
15312
181.9 IPS |
|
|
Face Detection (HP)
|
100% |
15505
184.2 IPS |
|
|
Face Detection (Q)
|
100% |
50594
601.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15713
121.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15997
123.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
53769
418.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30273
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31077
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
131490
169.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7511
277.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8258
304.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29110
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
6471
8.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6390
8.53 KIPS |
|
|
Text Classification (Q)
|
92% |
9482
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
9764
168.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10414
179.4 IPS |
|
|
Machine Translation (Q)
|
100% |
12839
221.2 IPS |