Google Pixel 9 Pro
Geekbench AI Score
1519
Single Precision Score
1471
Half Precision Score
2257
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 01:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
1555
289.1 IPS |
|
|
Image Classification (Q)
|
100% |
2413
448.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2221
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
4580
5.43 IPS |
|
|
Object Detection (SP)
|
98% |
955
76.0 IPS |
|
|
Object Detection (HP)
|
98% |
800
63.7 IPS |
|
|
Object Detection (Q)
|
83% |
1415
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3295
39.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2131
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2156
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3326
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5076
6.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5030
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9903
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2435
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.4 IPS |
|
|
Text Classification (HP)
|
99% |
470
626.8 IPS |
|
|
Text Classification (Q)
|
88% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
