Google Pixel 9 Pro
Geekbench AI Score
1405
Single Precision Score
1439
Half Precision Score
2167
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Chibisevich |
| Upload Date | February 07 2026 03:56 PM |
| 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% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.4 IPS |
|
|
Image Classification (Q)
|
100% |
2220
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1866
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
4533
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
951
75.7 IPS |
|
|
Object Detection (HP)
|
98% |
951
75.7 IPS |
|
|
Object Detection (Q)
|
83% |
1346
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (Q)
|
95% |
3386
40.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2159
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2122
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3279
30.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5021
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5100
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
9657
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2426
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (HP)
|
99% |
439
585.7 IPS |
|
|
Text Classification (Q)
|
88% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
