Google Pixel 9 Pro
Geekbench AI Score
731
Single Precision Score
838
Half Precision Score
821
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 02:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
456
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (Q)
|
97% |
449
83.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
704
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (Q)
|
92% |
421
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1372
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
980
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1199
9.24 IPS |
|
|
Depth Estimation (Q)
|
72% |
1107
9.16 IPS |
|
|
Style Transfer (SP)
|
100% |
2666
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3509
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3494
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.9 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.3 IPS |
|
|
Text Classification (Q)
|
91% |
725
974.0 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
449
11.0 IPS |
