Google Pixel 9 Pro
Geekbench AI Score
715
Single Precision Score
823
Half Precision Score
785
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 02:26 PM |
| Views | 7 |
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% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
99% |
454
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
703
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
428
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1349
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
990
7.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1199
9.24 IPS |
|
|
Depth Estimation (Q)
|
62% |
967
9.15 IPS |
|
|
Style Transfer (SP)
|
100% |
2636
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3449
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3418
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
408
545.0 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.1 IPS |
|
|
Text Classification (Q)
|
91% |
690
927.4 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (Q)
|
57% |
343
8.37 IPS |
