LENOVO 20L8S3LJ01
Geekbench AI Score
643
Single Precision Score
310
Half Precision Score
989
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GMAlshomrany |
| Upload Date | October 23 2025 07:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8650U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20L8S3LJ01 |
| Motherboard | LENOVO 20L8S3LJ01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
869
161.5 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
96% |
1313
245.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
1405
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
887
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
585
0.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
1346
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
58% |
443
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
96% |
1245
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1018
7.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
373
2.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
1450
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1992
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1319
1.70 IPS |
|
|
Style Transfer (Q)
|
87% |
2766
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.6 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.4 IPS |
|
|
Text Classification (Q)
|
97% |
435
582.8 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (Q)
|
68% |
614
11.9 IPS |
