Google Pixel 9 Pro
Geekbench AI Score
1138
Single Precision Score
1788
Half Precision Score
1301
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 07:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
903
168.0 IPS |
|
|
Image Classification (Q)
|
97% |
650
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1829
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13218
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12578
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
99% |
1090
86.4 IPS |
|
|
Object Detection (Q)
|
83% |
1021
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
2704
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (Q)
|
96% |
2822
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3712
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6208
48.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
5037
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8128
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21712
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20133
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2273
84.2 IPS |
|
|
Text Classification (SP)
|
35% |
21
186.5 IPS |
|
|
Text Classification (HP)
|
35% |
30
272.0 IPS |
|
|
Text Classification (Q)
|
32% |
20
258.6 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
43% |
70
4.09 IPS |
