Google Pixel 9 Pro
Geekbench AI Score
725
Single Precision Score
836
Half Precision Score
811
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:39 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% |
449
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
489
91.0 IPS |
|
|
Image Classification (Q)
|
99% |
447
83.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
702
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1459
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
980
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1188
9.16 IPS |
|
|
Depth Estimation (Q)
|
62% |
965
9.13 IPS |
|
|
Style Transfer (SP)
|
100% |
2639
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3453
4.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3429
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
595
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
449
598.8 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (Q)
|
91% |
730
981.3 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
436
10.7 IPS |
