| User | NeilB |
| Upload Date | December 14 2025 05:20 PM |
| Views | 16 |
| 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% |
9768
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
9701
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
22451
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10552
171.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10498
170.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26901
436.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18619
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18731
21.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
74673
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
8986
712.8 IPS |
|
|
Object Detection (HP)
|
100% |
8930
708.3 IPS |
|
|
Object Detection (Q)
|
88% |
23811
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
19318
229.5 IPS |
|
|
Face Detection (HP)
|
100% |
19631
233.3 IPS |
|
|
Face Detection (Q)
|
100% |
56662
673.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22112
170.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22174
170.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
68067
529.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51565
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51157
65.8 IPS |
|
|
Style Transfer (Q)
|
98% |
191629
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11883
438.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11870
438.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34793
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7255
9.68 KIPS |
|
|
Text Classification (HP)
|
100% |
7189
9.60 KIPS |
|
|
Text Classification (Q)
|
92% |
9179
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
12463
214.7 IPS |
|
|
Machine Translation (HP)
|
100% |
12583
216.7 IPS |
|
|
Machine Translation (Q)
|
100% |
15328
264.0 IPS |