Lenovo Flex 6 - Celeron N4000 LENOVO 81A7
Geekbench AI Score
208
Single Precision Score
256
Half Precision Score
168
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | paultissue |
| Upload Date | October 08 2025 04:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81A7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4000 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
56
10.5 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
50
9.35 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (Q)
|
97% |
542
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.55 IPS |
|
|
Object Detection (HP)
|
98% |
95
7.54 IPS |
|
|
Object Detection (Q)
|
86% |
54
4.36 IPS |
|
|
Face Detection (SP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.06 IPS |
|
|
Face Detection (Q)
|
97% |
199
2.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
438
3.38 IPS |
|
|
Depth Estimation (Q)
|
77% |
293
2.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1652
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2458
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
1418
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
238
8.81 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.4 IPS |
|
|
Text Classification (HP)
|
100% |
87
115.8 IPS |
|
|
Text Classification (Q)
|
97% |
90
120.6 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.85 IPS |
|
|
Machine Translation (HP)
|
100% |
111
1.92 IPS |
|
|
Machine Translation (Q)
|
70% |
67
1.27 IPS |
