Lenovo Chromebook Flex 5 - i3-1115G4 Google volteer
Geekbench AI Score
512
Single Precision Score
777
Half Precision Score
565
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 03 2025 09:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
100% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (Q)
|
96% |
586
109.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
603
9.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
1104
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
465
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (Q)
|
96% |
1507
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
797
6.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1375
10.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1126
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1943
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
3556
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3495
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
661
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.3 IPS |
|
|
Text Classification (HP)
|
100% |
178
238.0 IPS |
|
|
Text Classification (Q)
|
91% |
63
84.1 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.80 IPS |
