Google Pixel 8 Pro
Geekbench AI Score
1103
Single Precision Score
1181
Half Precision Score
1808
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:05 PM |
| Views | 2 |
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% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
100% |
714
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1315
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
4487
5.32 IPS |
|
|
Object Detection (SP)
|
98% |
982
78.1 IPS |
|
|
Object Detection (HP)
|
98% |
1021
81.3 IPS |
|
|
Object Detection (Q)
|
83% |
1454
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3148
37.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2015
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3036
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4839
6.28 IPS |
|
|
Style Transfer (HP)
|
89% |
4988
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9559
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2328
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.7 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.6 IPS |
|
|
Text Classification (Q)
|
88% |
639
862.2 IPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
