Google Pixel 9 Pro
Geekbench AI Score
438
Single Precision Score
4914
Half Precision Score
8990
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 07:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
5528
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
10272
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
10129
164.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22873
371.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
31657
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62906
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
4910
389.4 IPS |
|
|
Object Detection (Q)
|
87% |
6324
507.3 IPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
15920
189.2 IPS |
|
|
Face Detection (Q)
|
97% |
31012
369.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
32211
248.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
38213
351.8 IPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
825
1.06 IPS |
|
|
Style Transfer (Q)
|
73% |
3477
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8756
323.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15199
563.2 IPS |
|
|
Text Classification (SP)
|
100% |
428
570.9 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.5 IPS |
|
|
Text Classification (Q)
|
92% |
1427
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
413
10.1 IPS |
