Google Pixel 9 Pro
Geekbench AI Score
1707
Single Precision Score
1696
Half Precision Score
2497
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1341
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
100% |
2437
453.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2949
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2820
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6185
7.34 IPS |
|
|
Object Detection (SP)
|
98% |
1484
118.1 IPS |
|
|
Object Detection (HP)
|
98% |
1493
118.8 IPS |
|
|
Object Detection (Q)
|
83% |
1961
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (Q)
|
95% |
4436
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2782
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2742
21.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3616
33.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5496
7.13 IPS |
|
|
Style Transfer (HP)
|
89% |
5229
6.79 IPS |
|
|
Style Transfer (Q)
|
98% |
9713
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2307
85.5 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.7 IPS |
|
|
Text Classification (HP)
|
99% |
461
614.7 IPS |
|
|
Text Classification (Q)
|
88% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
