Google Pixel 8 Pro
Geekbench AI Score
1640
Single Precision Score
1620
Half Precision Score
2821
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 07:22 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.0 IPS |
|
|
Image Classification (HP)
|
100% |
1100
204.5 IPS |
|
|
Image Classification (Q)
|
100% |
2568
477.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2737
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6662
7.90 IPS |
|
|
Object Detection (SP)
|
98% |
1522
121.1 IPS |
|
|
Object Detection (HP)
|
98% |
1525
121.3 IPS |
|
|
Object Detection (Q)
|
83% |
2348
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
5638
67.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2718
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2814
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5311
48.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6967
9.04 IPS |
|
|
Style Transfer (HP)
|
89% |
6728
8.73 IPS |
|
|
Style Transfer (Q)
|
98% |
11678
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1109
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2391
88.6 IPS |
|
|
Text Classification (SP)
|
100% |
405
541.1 IPS |
|
|
Text Classification (HP)
|
99% |
446
594.8 IPS |
|
|
Text Classification (Q)
|
88% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
