Google Pixel 9 Pro
Geekbench AI Score
2036
Single Precision Score
2051
Half Precision Score
3129
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 04:12 PM |
| Views | 3 |
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% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (Q)
|
100% |
2468
458.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6449
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
1517
120.7 IPS |
|
|
Object Detection (HP)
|
98% |
1534
122.0 IPS |
|
|
Object Detection (Q)
|
83% |
1963
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4723
56.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3029
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3132
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5014
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7161
9.30 IPS |
|
|
Style Transfer (HP)
|
89% |
7066
9.17 IPS |
|
|
Style Transfer (Q)
|
98% |
13852
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3588
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.7 IPS |
|
|
Text Classification (HP)
|
99% |
721
962.0 IPS |
|
|
Text Classification (Q)
|
88% |
1300
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
730
25.9 IPS |
