| User | SDAOnliner |
| Upload Date | October 16 2024 08:59 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K5504VA_K5504VA |
| Motherboard | ASUSTeK COMPUTER INC. K5504VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3129
581.8 IPS |
|
|
Image Classification (HP)
|
100% |
4822
896.8 IPS |
|
|
Image Classification (Q)
|
99% |
6342
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4726
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7253
117.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8053
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11588
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
8403
9.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
34314
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
2858
226.7 IPS |
|
|
Object Detection (HP)
|
100% |
3882
307.9 IPS |
|
|
Object Detection (Q)
|
90% |
6454
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
8306
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
11986
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
16465
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10967
84.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
15958
123.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
20959
163.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29781
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37742
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78464
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7440
274.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13565
502.4 IPS |
|
|
Text Classification (SP)
|
71% |
1421
2.06 KIPS |
|
|
Text Classification (HP)
|
71% |
1639
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1543
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1886
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1949
33.6 IPS |