Google Pixel 8 Pro
Geekbench AI Score
1346
Single Precision Score
1335
Half Precision Score
2317
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ToxicTaZ |
| Upload Date | September 06 2025 07:55 AM |
| Views | 3 |
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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
870
161.7 IPS |
|
|
Image Classification (Q)
|
100% |
2630
489.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2587
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2632
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
5700
6.76 IPS |
|
|
Object Detection (SP)
|
98% |
1026
81.7 IPS |
|
|
Object Detection (HP)
|
98% |
1022
81.3 IPS |
|
|
Object Detection (Q)
|
83% |
1452
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
3304
39.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2050
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2059
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3334
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5031
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5050
6.56 IPS |
|
|
Style Transfer (Q)
|
98% |
9433
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2259
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (HP)
|
99% |
422
562.9 IPS |
|
|
Text Classification (Q)
|
88% |
731
986.0 IPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
