Lenovo ThinkPad Yoga 460 - i5-6300U LENOVO 20ELS04800
Geekbench AI Score
601
Single Precision Score
346
Half Precision Score
913
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 03 2025 09:27 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20ELS04800 |
| Motherboard | LENOVO 20ELS04800 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
356
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
96% |
588
109.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
857
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
675
0.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
1488
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
58% |
465
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
96% |
1404
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1081
8.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
1498
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2229
2.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1674
2.15 IPS |
|
|
Style Transfer (Q)
|
87% |
2672
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.2 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.4 IPS |
|
|
Text Classification (Q)
|
97% |
484
648.2 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
68% |
683
13.2 IPS |
