Lenovo Flex 6 - Celeron N4000 LENOVO 81A7
Geekbench AI Score
145
Single Precision Score
96
Half Precision Score
289
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | paultissue |
| Upload Date | October 08 2025 03:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N4000 |
| 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% |
90
16.8 IPS |
|
|
Image Classification (HP)
|
100% |
48
8.87 IPS |
|
|
Image Classification (Q)
|
96% |
193
36.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
232
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
158
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
121
0.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
369
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.83 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.04 IPS |
|
|
Object Detection (Q)
|
58% |
143
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
137
1.63 IPS |
|
|
Face Detection (Q)
|
96% |
427
5.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
220
1.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
138
1.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
419
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
422
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
353
0.45 IPS |
|
|
Style Transfer (Q)
|
87% |
754
0.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
75
2.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.23 IPS |
|
|
Text Classification (SP)
|
100% |
93
123.7 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.4 IPS |
|
|
Text Classification (Q)
|
97% |
196
262.9 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (HP)
|
100% |
97
1.67 IPS |
|
|
Machine Translation (Q)
|
68% |
300
5.80 IPS |
