Google Pixel 9 Pro
Geekbench AI Score
2113
Single Precision Score
2082
Half Precision Score
3183
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:16 PM |
| Views | 2 |
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% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
1579
293.7 IPS |
|
|
Image Classification (Q)
|
100% |
2342
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2503
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3055
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
6653
7.89 IPS |
|
|
Object Detection (SP)
|
98% |
1600
127.3 IPS |
|
|
Object Detection (HP)
|
98% |
1434
114.1 IPS |
|
|
Object Detection (Q)
|
83% |
2270
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
5071
60.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3345
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3220
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5185
47.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7407
9.61 IPS |
|
|
Style Transfer (HP)
|
89% |
7263
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
14485
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3554
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.1 IPS |
|
|
Text Classification (HP)
|
99% |
700
934.1 IPS |
|
|
Text Classification (Q)
|
88% |
1181
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
50% |
755
26.8 IPS |
