Google Pixel 9 Pro
Geekbench AI Score
1909
Single Precision Score
1946
Half Precision Score
2989
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 02:30 AM |
| Views | 1 |
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% |
1517
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
1542
286.8 IPS |
|
|
Image Classification (Q)
|
100% |
2404
447.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2517
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2910
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2863
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
5976
7.09 IPS |
|
|
Object Detection (SP)
|
98% |
1180
93.9 IPS |
|
|
Object Detection (HP)
|
98% |
1344
106.9 IPS |
|
|
Object Detection (Q)
|
83% |
2042
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (Q)
|
95% |
4875
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2919
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4531
41.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6448
8.37 IPS |
|
|
Style Transfer (HP)
|
89% |
6474
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
12554
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3374
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
678
904.7 IPS |
|
|
Text Classification (HP)
|
99% |
709
945.8 IPS |
|
|
Text Classification (Q)
|
88% |
1173
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
703
25.0 IPS |
