Google Pixel 8 Pro
Geekbench AI Score
214
Single Precision Score
3440
Half Precision Score
6357
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
3963
737.0 IPS |
|
|
Image Classification (Q)
|
99% |
4658
868.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16631
270.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
30902
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
61928
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (HP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (Q)
|
87% |
4345
348.6 IPS |
|
|
Face Detection (SP)
|
100% |
236
2.80 IPS |
|
|
Face Detection (HP)
|
100% |
16482
195.8 IPS |
|
|
Face Detection (Q)
|
97% |
39817
474.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
29491
227.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
33930
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
368
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (Q)
|
72% |
1697
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9009
332.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15573
577.0 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.2 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.0 IPS |
|
|
Text Classification (Q)
|
92% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
57% |
143
3.51 IPS |
