Google Pixel 8 Pro
Geekbench AI Score
1063
Single Precision Score
931
Half Precision Score
1492
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:39 PM |
| Views | 4 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
100% |
781
145.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
2019
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1538
1.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
3392
4.02 IPS |
|
|
Object Detection (SP)
|
98% |
726
57.8 IPS |
|
|
Object Detection (HP)
|
98% |
717
57.0 IPS |
|
|
Object Detection (Q)
|
83% |
1032
83.4 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (Q)
|
95% |
2452
29.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1567
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2445
22.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3868
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
4081
5.30 IPS |
|
|
Style Transfer (Q)
|
98% |
7030
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1795
66.5 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.2 IPS |
|
|
Text Classification (HP)
|
99% |
277
370.0 IPS |
|
|
Text Classification (Q)
|
88% |
443
598.0 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
