Google Pixel 9 Pro
Geekbench AI Score
1863
Single Precision Score
1852
Half Precision Score
2751
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | congrio |
| Upload Date | August 16 2025 08:09 PM |
| Views | 8 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
1463
272.0 IPS |
|
|
Image Classification (Q)
|
100% |
2302
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2431
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
5847
6.93 IPS |
|
|
Object Detection (SP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (HP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (Q)
|
83% |
2058
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (Q)
|
95% |
4737
56.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2690
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2826
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4572
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6501
8.44 IPS |
|
|
Style Transfer (HP)
|
89% |
6424
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
12586
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2926
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
604
806.6 IPS |
|
|
Text Classification (HP)
|
99% |
595
794.1 IPS |
|
|
Text Classification (Q)
|
88% |
897
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
