| User | NeilB |
| Upload Date | December 15 2025 11:21 AM |
| Views | 12 |
| 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. B850M AYW GAMING OC WIFI7 W |
| 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% |
9479
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9451
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
22544
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9972
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9964
161.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26306
426.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18621
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18702
21.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
73768
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
8763
695.1 IPS |
|
|
Object Detection (HP)
|
100% |
8565
679.4 IPS |
|
|
Object Detection (Q)
|
88% |
23978
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
19996
237.6 IPS |
|
|
Face Detection (HP)
|
100% |
19689
233.9 IPS |
|
|
Face Detection (Q)
|
100% |
56995
677.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21558
166.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21596
166.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67301
523.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51328
66.0 IPS |
|
|
Style Transfer (HP)
|
100% |
51076
65.7 IPS |
|
|
Style Transfer (Q)
|
98% |
186496
240.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11794
435.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11811
436.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34563
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7196
9.60 KIPS |
|
|
Text Classification (HP)
|
100% |
7158
9.55 KIPS |
|
|
Text Classification (Q)
|
92% |
9456
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
12332
212.4 IPS |
|
|
Machine Translation (HP)
|
100% |
12705
218.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15185
261.6 IPS |