Google Pixel 9 Pro
Geekbench AI Score
2023
Single Precision Score
2017
Half Precision Score
3057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 10:03 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.4 IPS |
|
|
Image Classification (Q)
|
100% |
2296
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2546
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2931
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6342
7.52 IPS |
|
|
Object Detection (SP)
|
98% |
1531
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
1429
113.7 IPS |
|
|
Object Detection (Q)
|
83% |
2286
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4939
59.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3249
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3153
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4957
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7035
9.13 IPS |
|
|
Style Transfer (HP)
|
89% |
7004
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
13961
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3612
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
729
972.9 IPS |
|
|
Text Classification (HP)
|
99% |
720
961.5 IPS |
|
|
Text Classification (Q)
|
88% |
1122
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
