Lenovo Chromebook Flex 5 - i3-1115G4 Google volteer
Geekbench AI Score
17
Single Precision Score
17
Half Precision Score
9
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 03 2025 09:15 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google volteer |
| Model ID | Google volteer |
| Motherboard | lillipup |
| 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 | 6.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
3.56 KIPS |
|
|
Image Classification (HP)
|
0% |
0
3.56 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.70 KIPS |
|
|
Image Segmentation (SP)
|
73% |
20957
362.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
20864
360.6 IPS |
|
|
Image Segmentation (Q)
|
73% |
52223
902.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
1.19 KIPS |
|
|
Pose Estimation (HP)
|
0% |
0
1.07 KIPS |
|
|
Pose Estimation (Q)
|
0% |
0
3.15 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.81 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.83 KIPS |
|
|
Object Detection (Q)
|
0% |
0
1.25 KIPS |
|
|
Face Detection (SP)
|
0% |
0
548.7 IPS |
|
|
Face Detection (HP)
|
0% |
0
526.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
867.5 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
1.17 KIPS |
|
|
Depth Estimation (HP)
|
0% |
0
1.14 KIPS |
|
|
Depth Estimation (Q)
|
0% |
0
983.6 IPS |
|
|
Style Transfer (SP)
|
32% |
200345
2.51 KIPS |
|
|
Style Transfer (HP)
|
32% |
208734
2.62 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
6.09 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
271
3.20 KIPS |
|
|
Text Classification (SP)
|
29% |
517
8.93 KIPS |
|
|
Text Classification (HP)
|
29% |
507
8.75 KIPS |
|
|
Text Classification (Q)
|
29% |
313
5.40 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
11.0 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
7.39 IPS |
