Google Pixel 9 Pro
Geekbench AI Score
382
Single Precision Score
4638
Half Precision Score
9087
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | March 08 2025 11:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
6032
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
8361
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
8270
134.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18041
293.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
32377
37.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
65510
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
5469
433.8 IPS |
|
|
Object Detection (Q)
|
87% |
7878
631.9 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.62 IPS |
|
|
Face Detection (HP)
|
100% |
17482
207.7 IPS |
|
|
Face Detection (Q)
|
97% |
35782
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
36744
283.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
45869
422.3 IPS |
|
|
Style Transfer (SP)
|
100% |
826
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (Q)
|
72% |
3050
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10293
380.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19072
706.7 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.1 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (Q)
|
92% |
2018
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.25 IPS |
