| Upload Date | January 06 2026 03:06 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX608JM_FX608JM |
| Motherboard | ASUSTeK COMPUTER INC. FX608JM |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2774
516.0 IPS |
|
|
Image Classification (HP)
|
100% |
2739
509.3 IPS |
|
|
Image Classification (Q)
|
100% |
6304
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5472
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5466
6.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
19000
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2764
219.3 IPS |
|
|
Object Detection (HP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (Q)
|
88% |
6834
547.8 IPS |
|
|
Face Detection (SP)
|
100% |
6653
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
7131
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
15772
187.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6904
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7037
54.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
17338
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16311
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16187
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30728
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10929
404.7 IPS |
|
|
Text Classification (SP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4151
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3840
66.1 IPS |