Google Pixel 9 Pro
Geekbench AI Score
2096
Single Precision Score
2125
Half Precision Score
3187
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 11:07 AM |
| Views | 1 |
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% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
1588
295.3 IPS |
|
|
Image Classification (Q)
|
100% |
2475
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3013
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6707
7.95 IPS |
|
|
Object Detection (SP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (HP)
|
98% |
1598
127.1 IPS |
|
|
Object Detection (Q)
|
83% |
2016
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5035
60.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3136
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3233
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5078
46.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7559
9.81 IPS |
|
|
Style Transfer (HP)
|
89% |
7462
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
14327
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3571
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
730
973.8 IPS |
|
|
Text Classification (HP)
|
99% |
740
987.5 IPS |
|
|
Text Classification (Q)
|
88% |
1324
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
