Lenovo Chromebook Flex 5 - Celeron 5205U Google hatch
Geekbench AI Score
13
Single Precision Score
12
Half Precision Score
6
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 05 2025 09:47 PM |
| Views | 6 |
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, 2 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 3.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.40 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.41 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.18 KIPS |
|
|
Image Segmentation (SP)
|
73% |
10604
183.3 IPS |
|
|
Image Segmentation (HP)
|
73% |
10526
181.9 IPS |
|
|
Image Segmentation (Q)
|
73% |
20276
350.4 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
414.3 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
421.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
947.1 IPS |
|
|
Object Detection (SP)
|
0% |
0
649.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
661.5 IPS |
|
|
Object Detection (Q)
|
0% |
0
463.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
212.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
215.1 IPS |
|
|
Face Detection (Q)
|
0% |
0
274.5 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
392.4 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
391.8 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
352.1 IPS |
|
|
Style Transfer (SP)
|
32% |
80436
1.01 KIPS |
|
|
Style Transfer (HP)
|
32% |
80834
1.01 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
2.09 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
800.9 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
789.0 IPS |
|
|
Image Super-Resolution (Q)
|
2% |
84
989.1 IPS |
|
|
Text Classification (SP)
|
29% |
162
2.79 KIPS |
|
|
Text Classification (HP)
|
29% |
157
2.71 KIPS |
|
|
Text Classification (Q)
|
29% |
104
1.80 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
4.24 IPS |
|
|
Machine Translation (HP)
|
0% |
0
4.24 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.98 IPS |
