Google Pixel 9 Pro
Geekbench AI Score
1920
Single Precision Score
1827
Half Precision Score
2682
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 10:23 AM |
| Views | 6 |
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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
900
167.4 IPS |
|
|
Image Classification (Q)
|
100% |
2251
418.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
911
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
5708
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
1326
105.5 IPS |
|
|
Object Detection (HP)
|
98% |
1385
110.2 IPS |
|
|
Object Detection (Q)
|
83% |
2057
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (Q)
|
95% |
4752
56.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2834
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2887
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4629
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6488
8.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6431
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
12991
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3459
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
707
944.0 IPS |
|
|
Text Classification (HP)
|
99% |
708
944.5 IPS |
|
|
Text Classification (Q)
|
88% |
1263
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
641
22.8 IPS |
