Google Pixel 9 Pro
Geekbench AI Score
2004
Single Precision Score
2023
Half Precision Score
3116
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
1480
275.3 IPS |
|
|
Image Classification (Q)
|
100% |
2407
447.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2567
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2897
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6307
7.48 IPS |
|
|
Object Detection (SP)
|
98% |
1500
119.3 IPS |
|
|
Object Detection (HP)
|
98% |
1512
120.3 IPS |
|
|
Object Detection (Q)
|
83% |
2002
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4889
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2913
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5032
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7020
9.11 IPS |
|
|
Style Transfer (HP)
|
89% |
6791
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
13482
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3565
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.5 IPS |
|
|
Text Classification (HP)
|
99% |
713
951.7 IPS |
|
|
Text Classification (Q)
|
88% |
1318
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
712
25.3 IPS |
