Google Pixel 9 Pro
Geekbench AI Score
398
Single Precision Score
4597
Half Precision Score
6075
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
272
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
5084
945.5 IPS |
|
|
Image Classification (Q)
|
99% |
5657
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
8296
134.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16678
271.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
31447
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
64220
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
5481
434.8 IPS |
|
|
Object Detection (Q)
|
87% |
6708
538.1 IPS |
|
|
Face Detection (SP)
|
100% |
603
7.17 IPS |
|
|
Face Detection (HP)
|
100% |
16399
194.9 IPS |
|
|
Face Detection (Q)
|
97% |
33106
394.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
32449
250.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
37027
340.9 IPS |
|
|
Style Transfer (SP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
681
0.87 IPS |
|
|
Style Transfer (Q)
|
27% |
200
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8787
324.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15028
556.9 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.3 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.6 IPS |
|
|
Text Classification (Q)
|
92% |
1342
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.12 IPS |
|
|
Machine Translation (Q)
|
57% |
341
8.34 IPS |
