Google Pixel 9 Pro
Geekbench AI Score
1839
Single Precision Score
2022
Half Precision Score
3170
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:27 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
1441
268.1 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2542
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2795
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6256
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1486
118.2 IPS |
|
|
Object Detection (HP)
|
98% |
1472
117.1 IPS |
|
|
Object Detection (Q)
|
83% |
2225
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4938
58.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3036
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5018
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6858
8.90 IPS |
|
|
Style Transfer (HP)
|
89% |
6818
8.85 IPS |
|
|
Style Transfer (Q)
|
98% |
13469
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3650
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.2 IPS |
|
|
Text Classification (HP)
|
99% |
731
976.0 IPS |
|
|
Text Classification (Q)
|
88% |
1312
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1547
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
737
26.2 IPS |
