Google Google Pixelbook
Geekbench AI Score
86
Single Precision Score
85
Half Precision Score
37
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Aaronage |
| Upload Date | October 07 2025 01:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Google Pixelbook |
| Model ID | Google Google Pixelbook |
| Motherboard | eve |
| 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 | 14.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.7 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.71 IPS |
|
|
Image Classification (Q)
|
99% |
22
4.16 IPS |
|
|
Image Segmentation (SP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
26
0.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
86
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
52
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.85 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.82 IPS |
|
|
Object Detection (Q)
|
87% |
23
1.85 IPS |
|
|
Face Detection (SP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (HP)
|
100% |
142
1.69 IPS |
|
|
Face Detection (Q)
|
97% |
47
0.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
117
0.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
117
0.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
53
0.48 IPS |
|
|
Style Transfer (SP)
|
100% |
208
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
210
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
139
0.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54
1.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
28
1.05 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.5 IPS |
|
|
Text Classification (HP)
|
100% |
71
95.3 IPS |
|
|
Text Classification (Q)
|
91% |
25
33.7 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.06 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
57% |
30
0.73 IPS |
