Google Google Pixelbook
Geekbench AI Score
20
Single Precision Score
20
Half Precision Score
11
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Aaronage |
| Upload Date | October 07 2025 12:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
0% |
0
1.60 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.41 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.08 KIPS |
|
|
Image Segmentation (SP)
|
73% |
14918
257.8 IPS |
|
|
Image Segmentation (HP)
|
73% |
15322
264.8 IPS |
|
|
Image Segmentation (Q)
|
73% |
2019
34.9 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
753.4 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
665.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
288.6 IPS |
|
|
Object Detection (SP)
|
0% |
0
696.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
679.5 IPS |
|
|
Object Detection (Q)
|
0% |
0
752.1 IPS |
|
|
Face Detection (SP)
|
0% |
0
275.2 IPS |
|
|
Face Detection (HP)
|
0% |
0
273.8 IPS |
|
|
Face Detection (Q)
|
0% |
0
142.8 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
827.0 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
1.01 KIPS |
|
|
Depth Estimation (Q)
|
0% |
0
818.1 IPS |
|
|
Style Transfer (SP)
|
32% |
97451
1.22 KIPS |
|
|
Style Transfer (HP)
|
32% |
95086
1.19 KIPS |
|
|
Style Transfer (Q)
|
32% |
29880
372.7 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
1% |
0
487.2 IPS |
|
|
Text Classification (SP)
|
100% |
65
86.9 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.8 IPS |
|
|
Text Classification (Q)
|
91% |
25
33.5 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.11 IPS |
|
|
Machine Translation (Q)
|
57% |
30
0.74 IPS |
