| User | ATOM |
| Upload Date | December 09 2025 08:56 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.5 IPS |
|
|
Image Classification (Q)
|
99% |
5133
957.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5047
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5798
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5483
6.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
3988
4.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
16339
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.9 IPS |
|
|
Object Detection (HP)
|
98% |
3020
240.3 IPS |
|
|
Object Detection (Q)
|
90% |
5560
444.6 IPS |
|
|
Face Detection (SP)
|
100% |
6568
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
10148
120.6 IPS |
|
|
Face Detection (Q)
|
100% |
13293
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6394
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10859
83.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14859
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14210
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22148
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37597
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4163
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8527
315.8 IPS |
|
|
Text Classification (SP)
|
71% |
661
956.4 IPS |
|
|
Text Classification (HP)
|
71% |
688
995.8 IPS |
|
|
Text Classification (Q)
|
92% |
702
943.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1464
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1470
25.3 IPS |