Google Pixel 9 Pro
Geekbench AI Score
1275
Single Precision Score
1281
Half Precision Score
1783
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 08:46 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (Q)
|
100% |
2187
406.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1973
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2113
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
4420
5.24 IPS |
|
|
Object Detection (SP)
|
98% |
1007
80.1 IPS |
|
|
Object Detection (HP)
|
98% |
1009
80.3 IPS |
|
|
Object Detection (Q)
|
83% |
1316
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
3293
39.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1987
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3132
28.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4182
5.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3751
4.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6884
8.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1656
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.5 IPS |
|
|
Text Classification (HP)
|
99% |
319
425.4 IPS |
|
|
Text Classification (Q)
|
88% |
516
695.5 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
214
7.59 IPS |
