Google Pixel 9 Pro
Geekbench AI Score
728
Single Precision Score
789
Half Precision Score
814
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:13 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
99% |
452
84.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
702
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
430
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1428
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
989
7.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
62% |
962
9.10 IPS |
|
|
Style Transfer (SP)
|
100% |
2641
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3418
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3434
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
594
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.6 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (Q)
|
91% |
725
975.0 IPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
454
11.1 IPS |
