Lenovo ThinkPad Yoga 460 - i5-6300U LENOVO 20ELS04800
Geekbench AI Score
425
Single Precision Score
290
Half Precision Score
361
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paultissue |
| Upload Date | September 03 2025 09:41 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| 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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
100% |
221
41.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
832
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
766
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
86% |
228
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
396
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
830
6.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
524
4.05 IPS |
|
|
Depth Estimation (Q)
|
77% |
701
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
1639
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1328
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1458
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
135
180.6 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.5 IPS |
|
|
Text Classification (Q)
|
97% |
152
203.5 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
96% |
208
3.61 IPS |
|
|
Machine Translation (Q)
|
70% |
167
3.13 IPS |
