LENOVO 83DA
Geekbench AI Score
1434
Single Precision Score
1509
Half Precision Score
2921
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DA |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (HP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (Q)
|
100% |
1564
290.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1780
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2779
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2902
3.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
10017
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.6 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
88% |
2766
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (Q)
|
100% |
2508
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1859
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2695
20.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
6554
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8160
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8425
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25285
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.7 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.6 IPS |
|
|
Text Classification (Q)
|
92% |
672
903.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1154
19.9 IPS |
