Google Pixel 9 Pro
Geekbench AI Score
2019
Single Precision Score
2002
Half Precision Score
3014
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 01:30 AM |
| Views | 3 |
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% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.3 IPS |
|
|
Image Classification (Q)
|
100% |
2099
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2419
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6228
7.39 IPS |
|
|
Object Detection (SP)
|
98% |
1507
119.9 IPS |
|
|
Object Detection (HP)
|
98% |
1481
117.9 IPS |
|
|
Object Detection (Q)
|
83% |
2152
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4892
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3109
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3069
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5013
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7061
9.17 IPS |
|
|
Style Transfer (HP)
|
89% |
6985
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
13420
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3499
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
672
896.6 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.9 IPS |
|
|
Text Classification (Q)
|
88% |
1136
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
