| Upload Date | April 25 2025 12:42 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5786
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8248
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
9661
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4000
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12773
207.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18639
302.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20988
24.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
18518
21.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
54746
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
5547
440.0 IPS |
|
|
Object Detection (HP)
|
100% |
8065
639.7 IPS |
|
|
Object Detection (Q)
|
88% |
10959
878.2 IPS |
|
|
Face Detection (SP)
|
100% |
8442
100.3 IPS |
|
|
Face Detection (HP)
|
100% |
17817
211.7 IPS |
|
|
Face Detection (Q)
|
100% |
26662
316.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19460
149.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
33973
262.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
37808
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47397
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50988
65.5 IPS |
|
|
Style Transfer (Q)
|
98% |
158191
204.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8883
328.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15499
572.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21436
793.9 IPS |
|
|
Text Classification (SP)
|
71% |
1653
2.39 KIPS |
|
|
Text Classification (HP)
|
71% |
2410
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
2349
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3071
53.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3139
54.1 IPS |