Google Pixel 9 Pro
Geekbench AI Score
2008
Single Precision Score
2015
Half Precision Score
3049
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 12:16 PM |
| Views | 5 |
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% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (Q)
|
100% |
2462
457.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2568
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2973
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6469
7.67 IPS |
|
|
Object Detection (SP)
|
98% |
1450
115.4 IPS |
|
|
Object Detection (HP)
|
98% |
1538
122.4 IPS |
|
|
Object Detection (Q)
|
83% |
2137
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
4960
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3120
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3160
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4980
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7185
9.33 IPS |
|
|
Style Transfer (HP)
|
89% |
7155
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
13920
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3490
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.7 IPS |
|
|
Text Classification (HP)
|
99% |
663
884.4 IPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
