Google Pixel 9 Pro
Geekbench AI Score
2011
Single Precision Score
2024
Half Precision Score
3087
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | March 08 2025 11:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (Q)
|
100% |
2372
441.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2461
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6293
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1468
116.9 IPS |
|
|
Object Detection (HP)
|
98% |
1485
118.2 IPS |
|
|
Object Detection (Q)
|
83% |
2164
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
4850
57.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2831
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2971
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4889
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6977
9.06 IPS |
|
|
Style Transfer (HP)
|
89% |
6942
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
13721
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3499
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
722
963.9 IPS |
|
|
Text Classification (HP)
|
99% |
705
940.4 IPS |
|
|
Text Classification (Q)
|
88% |
1288
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
676
24.0 IPS |
