Google Pixel 8 Pro
Geekbench AI Score
490
Single Precision Score
597
Half Precision Score
907
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 10:58 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 | 11.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
100% |
736
136.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
2003
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2205
2.61 IPS |
|
|
Object Detection (SP)
|
98% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
98% |
443
35.3 IPS |
|
|
Object Detection (Q)
|
83% |
505
40.8 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
1214
14.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
817
6.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
863
6.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1198
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2212
2.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2292
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
5299
6.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2332
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
145
192.9 IPS |
|
|
Text Classification (HP)
|
99% |
338
450.6 IPS |
|
|
Text Classification (Q)
|
88% |
176
238.0 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
50% |
73
2.59 IPS |
