Lenovo Chromebook Flex 5 - i3-10110U Google hatch
Geekbench AI Score
107
Single Precision Score
106
Half Precision Score
47
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 04 2025 02:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google hatch |
| Model ID | Google hatch |
| Motherboard | akemi |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (Q)
|
99% |
33
6.08 IPS |
|
|
Image Segmentation (SP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
34
0.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
64
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
59
4.65 IPS |
|
|
Object Detection (HP)
|
100% |
60
4.73 IPS |
|
|
Object Detection (Q)
|
87% |
28
2.27 IPS |
|
|
Face Detection (SP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.04 IPS |
|
|
Face Detection (Q)
|
97% |
58
0.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
138
1.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
140
1.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
64
0.58 IPS |
|
|
Style Transfer (SP)
|
100% |
249
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
248
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
176
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36
1.34 IPS |
|
|
Text Classification (SP)
|
100% |
90
119.6 IPS |
|
|
Text Classification (HP)
|
100% |
88
117.0 IPS |
|
|
Text Classification (Q)
|
91% |
31
41.2 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.53 IPS |
|
|
Machine Translation (HP)
|
100% |
146
2.51 IPS |
|
|
Machine Translation (Q)
|
57% |
37
0.90 IPS |
