Google Pixel 9 Pro
Geekbench AI Score
2054
Single Precision Score
2042
Half Precision Score
3171
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:10 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (HP)
|
100% |
1431
266.1 IPS |
|
|
Image Classification (Q)
|
100% |
2451
455.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2945
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6488
7.69 IPS |
|
|
Object Detection (SP)
|
98% |
1526
121.5 IPS |
|
|
Object Detection (HP)
|
98% |
1544
122.9 IPS |
|
|
Object Detection (Q)
|
83% |
2192
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4767
56.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3147
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4974
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7138
9.27 IPS |
|
|
Style Transfer (HP)
|
89% |
7097
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
13754
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3635
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
727
969.8 IPS |
|
|
Text Classification (HP)
|
99% |
710
947.5 IPS |
|
|
Text Classification (Q)
|
88% |
1299
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
749
26.6 IPS |
