Google Pixel 9 Pro
Geekbench AI Score
376
Single Precision Score
4535
Half Precision Score
8275
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 08:07 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% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
6506
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
9177
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
9026
146.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18842
306.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
422
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
31522
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62888
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
4893
388.1 IPS |
|
|
Object Detection (Q)
|
87% |
6223
499.2 IPS |
|
|
Face Detection (SP)
|
100% |
610
7.25 IPS |
|
|
Face Detection (HP)
|
100% |
15853
188.4 IPS |
|
|
Face Detection (Q)
|
97% |
32050
382.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
534
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
32435
249.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
37036
340.9 IPS |
|
|
Style Transfer (SP)
|
100% |
678
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
595
0.76 IPS |
|
|
Style Transfer (Q)
|
72% |
2736
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9806
362.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18645
690.9 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.6 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.0 IPS |
|
|
Text Classification (Q)
|
92% |
1332
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.74 IPS |
