Google Pixel 9 Pro
Geekbench AI Score
2111
Single Precision Score
2098
Half Precision Score
3212
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 02:37 PM |
| Views | 2 |
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% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
1610
299.4 IPS |
|
|
Image Classification (Q)
|
100% |
2380
442.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2525
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6566
7.79 IPS |
|
|
Object Detection (SP)
|
98% |
1595
126.9 IPS |
|
|
Object Detection (HP)
|
98% |
1602
127.5 IPS |
|
|
Object Detection (Q)
|
87% |
2276
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4784
57.1 IPS |
|
|
Depth Estimation (SP)
|
98% |
3209
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3283
25.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
5791
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7273
9.44 IPS |
|
|
Style Transfer (HP)
|
89% |
7200
9.35 IPS |
|
|
Style Transfer (Q)
|
98% |
14194
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3569
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
682
909.8 IPS |
|
|
Text Classification (HP)
|
99% |
675
901.6 IPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
811
28.8 IPS |
