Google Pixel 8 Pro
Geekbench AI Score
1835
Single Precision Score
1834
Half Precision Score
2878
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fhenrique |
| Upload Date | January 14 2026 12:10 AM |
| Views | 5 |
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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
1410
262.3 IPS |
|
|
Image Classification (Q)
|
100% |
2579
479.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2800
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2544
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
6275
7.44 IPS |
|
|
Object Detection (SP)
|
98% |
1368
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1314
104.6 IPS |
|
|
Object Detection (Q)
|
83% |
2281
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4973
59.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2535
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4980
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6475
8.41 IPS |
|
|
Style Transfer (HP)
|
89% |
6554
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5606
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3761
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
737
984.2 IPS |
|
|
Text Classification (HP)
|
99% |
734
980.1 IPS |
|
|
Text Classification (Q)
|
88% |
1194
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
605
21.5 IPS |
