Google Pixel 8 Pro
Geekbench AI Score
1826
Single Precision Score
1745
Half Precision Score
2829
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 12:56 AM |
| Views | 5 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1540
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
1253
232.9 IPS |
|
|
Image Classification (Q)
|
100% |
2620
487.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2908
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3064
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6924
8.21 IPS |
|
|
Object Detection (SP)
|
98% |
1452
115.5 IPS |
|
|
Object Detection (HP)
|
98% |
1475
117.4 IPS |
|
|
Object Detection (Q)
|
83% |
2196
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
5208
62.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2767
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2663
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5459
50.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6966
9.04 IPS |
|
|
Style Transfer (HP)
|
89% |
6508
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
11760
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2405
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.3 IPS |
|
|
Text Classification (HP)
|
99% |
474
632.2 IPS |
|
|
Text Classification (Q)
|
88% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
