Google Pixel 9 Pro
Geekbench AI Score
2044
Single Precision Score
2068
Half Precision Score
3136
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:03 PM |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
1541
286.5 IPS |
|
|
Image Classification (Q)
|
100% |
2470
459.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2525
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6463
7.67 IPS |
|
|
Object Detection (SP)
|
98% |
1554
123.6 IPS |
|
|
Object Detection (HP)
|
98% |
1578
125.6 IPS |
|
|
Object Detection (Q)
|
83% |
2184
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4961
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2960
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5002
45.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7214
9.36 IPS |
|
|
Style Transfer (HP)
|
89% |
7250
9.41 IPS |
|
|
Style Transfer (Q)
|
98% |
13964
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3569
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.3 IPS |
|
|
Text Classification (HP)
|
99% |
695
927.6 IPS |
|
|
Text Classification (Q)
|
88% |
1155
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
733
26.0 IPS |
