LENOVO 83DT
Geekbench AI Score
2453
Single Precision Score
948
Half Precision Score
3700
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 10:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
3867
721.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2086
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3851
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
11259
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
3131
251.6 IPS |
|
|
Face Detection (SP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
5684
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5018
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1326
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9284
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8873
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5288
6.80 IPS |
|
|
Style Transfer (Q)
|
98% |
14004
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2431
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.3 IPS |
|
|
Text Classification (Q)
|
97% |
472
632.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1997
40.1 IPS |
