Lenovo Chromebook Flex 5 - Celeron 5205U Google hatch
Geekbench AI Score
16
Single Precision Score
17
Half Precision Score
9
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 05 2025 09:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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
862.5 IPS |
|
|
Image Classification (HP)
|
0% |
0
818.3 IPS |
|
|
Image Classification (Q)
|
0% |
0
621.5 IPS |
|
|
Image Segmentation (SP)
|
73% |
9627
166.4 IPS |
|
|
Image Segmentation (HP)
|
73% |
9784
169.1 IPS |
|
|
Image Segmentation (Q)
|
73% |
1201
20.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
367.6 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
384.8 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
186.6 IPS |
|
|
Object Detection (SP)
|
0% |
0
417.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
443.8 IPS |
|
|
Object Detection (Q)
|
0% |
0
437.7 IPS |
|
|
Face Detection (SP)
|
0% |
0
195.3 IPS |
|
|
Face Detection (HP)
|
0% |
0
184.3 IPS |
|
|
Face Detection (Q)
|
0% |
0
86.1 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
500.5 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
457.6 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
474.7 IPS |
|
|
Style Transfer (SP)
|
32% |
49324
618.7 IPS |
|
|
Style Transfer (HP)
|
32% |
49210
617.2 IPS |
|
|
Style Transfer (Q)
|
32% |
17240
215.0 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
835.2 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
744.7 IPS |
|
|
Image Super-Resolution (Q)
|
1% |
0
319.6 IPS |
|
|
Text Classification (SP)
|
100% |
47
63.3 IPS |
|
|
Text Classification (HP)
|
100% |
48
63.5 IPS |
|
|
Text Classification (Q)
|
91% |
17
23.2 IPS |
|
|
Machine Translation (SP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (HP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (Q)
|
57% |
21
0.52 IPS |
