| Upload Date | January 06 2026 08:04 AM |
| Views | 6 |
| 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% |
2878
535.2 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.2 IPS |
|
|
Image Classification (Q)
|
100% |
6661
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3280
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3458
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6205
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5542
6.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
12135
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (Q)
|
88% |
6790
544.3 IPS |
|
|
Face Detection (SP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
8523
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6861
52.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
17141
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16427
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16489
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54748
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3220
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10639
394.0 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
4002
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3923
67.6 IPS |