Google Pixel 8 Pro
Geekbench AI Score
1690
Single Precision Score
1705
Half Precision Score
2946
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | vellimora |
| Upload Date | June 03 2025 10:38 PM |
| Views | 7 |
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% |
829
154.1 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.0 IPS |
|
|
Image Classification (Q)
|
100% |
2639
490.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2538
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6772
8.03 IPS |
|
|
Object Detection (SP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (HP)
|
98% |
1389
110.5 IPS |
|
|
Object Detection (Q)
|
83% |
2176
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
5174
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2922
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4796
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6890
8.94 IPS |
|
|
Style Transfer (HP)
|
89% |
6836
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
14115
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3482
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
559
746.4 IPS |
|
|
Text Classification (HP)
|
99% |
605
807.7 IPS |
|
|
Text Classification (Q)
|
88% |
894
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.2 IPS |
