LENOVO 83DU
Geekbench AI Score
2387
Single Precision Score
2351
Half Precision Score
4442
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 08:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.8 IPS |
|
|
Image Classification (Q)
|
100% |
2508
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2992
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3047
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2942
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
7212
8.45 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
88% |
2414
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
6992
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3996
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4034
31.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8066
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10113
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10154
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23072
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2224
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1961
33.8 IPS |
