Google Pixel 8 Pro
Geekbench AI Score
696
Single Precision Score
833
Half Precision Score
795
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 06:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
400
74.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1003
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
692
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
83% |
495
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1572
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
940
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
1150
8.86 IPS |
|
|
Depth Estimation (Q)
|
62% |
928
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
2596
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3375
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3347
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.7 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.2 IPS |
|
|
Text Classification (Q)
|
91% |
632
849.5 IPS |
|
|
Machine Translation (SP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.72 IPS |
