Google Pixel 9 Pro
Geekbench AI Score
1636
Single Precision Score
1587
Half Precision Score
2343
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 06:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.8 IPS |
|
|
Image Classification (Q)
|
100% |
2413
448.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2563
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2793
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
5740
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
1221
97.1 IPS |
|
|
Object Detection (HP)
|
98% |
1101
87.6 IPS |
|
|
Object Detection (Q)
|
83% |
1555
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
3280
39.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2207
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2208
17.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3249
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5148
6.68 IPS |
|
|
Style Transfer (HP)
|
89% |
5090
6.61 IPS |
|
|
Style Transfer (Q)
|
98% |
9701
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2443
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (HP)
|
99% |
477
637.1 IPS |
|
|
Text Classification (Q)
|
88% |
770
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
