Google Pixel 9 Pro
Geekbench AI Score
1529
Single Precision Score
1519
Half Precision Score
2138
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 07:47 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1490
277.1 IPS |
|
|
Image Classification (Q)
|
100% |
2262
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2461
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
4399
5.22 IPS |
|
|
Object Detection (SP)
|
98% |
903
71.9 IPS |
|
|
Object Detection (HP)
|
98% |
965
76.8 IPS |
|
|
Object Detection (Q)
|
83% |
737
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (Q)
|
95% |
3295
39.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2098
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2184
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3357
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5110
6.63 IPS |
|
|
Style Transfer (HP)
|
89% |
5044
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9826
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2406
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.2 IPS |
|
|
Text Classification (HP)
|
99% |
469
625.7 IPS |
|
|
Text Classification (Q)
|
88% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
