Google Pixel 8 Pro
Geekbench AI Score
1489
Single Precision Score
1450
Half Precision Score
2260
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 04:33 AM |
| 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 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (Q)
|
100% |
2281
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2609
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
6070
7.20 IPS |
|
|
Object Detection (SP)
|
98% |
1012
80.5 IPS |
|
|
Object Detection (HP)
|
98% |
956
76.1 IPS |
|
|
Object Detection (Q)
|
83% |
1521
122.9 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2133
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
3174
37.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1976
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3314
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5009
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4868
6.32 IPS |
|
|
Style Transfer (Q)
|
98% |
9459
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2444
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
388
517.5 IPS |
|
|
Text Classification (HP)
|
99% |
424
565.5 IPS |
|
|
Text Classification (Q)
|
88% |
606
817.9 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
