Google Pixel 8
Geekbench AI Score
1879
Single Precision Score
1901
Half Precision Score
3213
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 30 2025 12:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1053
195.8 IPS |
|
|
Image Classification (HP)
|
100% |
1100
204.5 IPS |
|
|
Image Classification (Q)
|
100% |
2442
454.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2581
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
6870
8.15 IPS |
|
|
Object Detection (SP)
|
98% |
1507
119.9 IPS |
|
|
Object Detection (HP)
|
98% |
1459
116.1 IPS |
|
|
Object Detection (Q)
|
83% |
2156
174.2 IPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
5187
61.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2805
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2999
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5438
49.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7251
9.41 IPS |
|
|
Style Transfer (HP)
|
89% |
7166
9.30 IPS |
|
|
Style Transfer (Q)
|
98% |
14531
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3766
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.3 IPS |
|
|
Text Classification (HP)
|
99% |
748
999.0 IPS |
|
|
Text Classification (Q)
|
88% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
684
24.3 IPS |
