Google Pixel 8
Geekbench AI Score
1940
Single Precision Score
1949
Half Precision Score
3179
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 12:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1524
283.4 IPS |
|
|
Image Classification (Q)
|
100% |
2586
481.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2812
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2840
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6541
7.76 IPS |
|
|
Object Detection (SP)
|
98% |
1317
104.8 IPS |
|
|
Object Detection (HP)
|
98% |
1418
112.8 IPS |
|
|
Object Detection (Q)
|
83% |
2323
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4865
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2823
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2888
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5243
48.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7013
9.10 IPS |
|
|
Style Transfer (HP)
|
89% |
6974
9.05 IPS |
|
|
Style Transfer (Q)
|
98% |
13555
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3778
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.7 IPS |
|
|
Text Classification (HP)
|
99% |
682
910.8 IPS |
|
|
Text Classification (Q)
|
88% |
1111
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
658
23.3 IPS |
