Lenovo IdeaPad S145-15IWL LENOVO 81MV
Geekbench AI Score
715
Single Precision Score
799
Half Precision Score
547
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Bxckam1422 |
| Upload Date | October 30 2025 12:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81MV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8145U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
100% |
307
57.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
297
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
1682
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
98% |
309
24.6 IPS |
|
|
Object Detection (Q)
|
86% |
328
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (Q)
|
97% |
509
6.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1426
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1146
9.17 IPS |
|
|
Style Transfer (SP)
|
100% |
4899
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
7432
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3851
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1285
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
660
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.4 IPS |
|
|
Text Classification (Q)
|
97% |
179
240.2 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
70% |
181
3.40 IPS |
