Google Pixel 9 Pro
Geekbench AI Score
1736
Single Precision Score
1712
Half Precision Score
2542
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kelvan |
| Upload Date | June 26 2025 08:51 AM |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (Q)
|
100% |
2426
451.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2560
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6350
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1470
117.0 IPS |
|
|
Object Detection (HP)
|
98% |
1472
117.2 IPS |
|
|
Object Detection (Q)
|
83% |
2138
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4299
51.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2797
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3713
34.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5476
7.11 IPS |
|
|
Style Transfer (HP)
|
89% |
5267
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
9910
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2479
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.4 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.6 IPS |
|
|
Text Classification (Q)
|
88% |
737
993.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
