Google Pixel 8 Pro
Geekbench AI Score
1725
Single Precision Score
1876
Half Precision Score
3130
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 07:02 AM |
| Views | 6 |
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% |
835
155.4 IPS |
|
|
Image Classification (HP)
|
100% |
1126
209.4 IPS |
|
|
Image Classification (Q)
|
100% |
2437
453.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2761
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2802
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2765
3.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
6735
7.99 IPS |
|
|
Object Detection (SP)
|
98% |
1128
89.8 IPS |
|
|
Object Detection (HP)
|
98% |
1427
113.6 IPS |
|
|
Object Detection (Q)
|
83% |
2124
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
5236
62.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2707
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2693
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4965
45.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6682
8.67 IPS |
|
|
Style Transfer (HP)
|
89% |
6686
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
13750
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3804
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
733
979.0 IPS |
|
|
Text Classification (HP)
|
99% |
729
972.4 IPS |
|
|
Text Classification (Q)
|
88% |
1138
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
606
21.5 IPS |
