Lenovo Chromebook Flex 5 - i3-10110U Google hatch
Geekbench AI Score
16
Single Precision Score
16
Half Precision Score
8
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 04 2025 01:45 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
0% |
0
3.05 KIPS |
|
|
Image Classification (HP)
|
0% |
0
3.10 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.83 KIPS |
|
|
Image Segmentation (SP)
|
73% |
20187
348.9 IPS |
|
|
Image Segmentation (HP)
|
73% |
19748
341.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
42347
731.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
978.5 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
988.8 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
2.73 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.52 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.53 KIPS |
|
|
Object Detection (Q)
|
0% |
0
1.09 KIPS |
|
|
Face Detection (SP)
|
0% |
0
419.8 IPS |
|
|
Face Detection (HP)
|
0% |
0
435.1 IPS |
|
|
Face Detection (Q)
|
0% |
0
660.0 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
952.4 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
944.6 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
845.3 IPS |
|
|
Style Transfer (SP)
|
32% |
178836
2.24 KIPS |
|
|
Style Transfer (HP)
|
32% |
175937
2.21 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
5.35 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
222
2.61 KIPS |
|
|
Text Classification (SP)
|
29% |
408
7.05 KIPS |
|
|
Text Classification (HP)
|
29% |
400
6.91 KIPS |
|
|
Text Classification (Q)
|
29% |
258
4.45 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.76 IPS |
|
|
Machine Translation (HP)
|
0% |
0
8.66 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.97 IPS |
