Google Pixel 8 Pro
Geekbench AI Score
346
Single Precision Score
4038
Half Precision Score
7370
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:22 PM |
| Views | 5 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
6555
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6601
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
7199
116.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15656
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30942
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62274
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (Q)
|
87% |
5337
428.1 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
12489
148.4 IPS |
|
|
Face Detection (Q)
|
97% |
24818
295.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
28312
218.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
38060
350.4 IPS |
|
|
Style Transfer (SP)
|
100% |
619
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2645
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8057
297.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14544
538.9 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.3 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.4 IPS |
|
|
Text Classification (Q)
|
92% |
1498
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.19 IPS |
