| Upload Date | February 01 2026 12:42 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-A WIFI |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2907
540.6 IPS |
|
|
Image Classification (Q)
|
99% |
4755
887.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6408
103.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
3304
3.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
13945
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
98% |
2607
207.4 IPS |
|
|
Object Detection (Q)
|
90% |
4901
391.8 IPS |
|
|
Face Detection (SP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
12559
149.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5307
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9135
70.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13066
101.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11911
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18187
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31665
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3487
128.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7017
259.9 IPS |
|
|
Text Classification (SP)
|
71% |
1292
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1715
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2523
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2559
44.1 IPS |