Google Pixel 9 Pro XL
Geekbench AI Score
2103
Single Precision Score
2110
Half Precision Score
3221
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 12:36 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 XL |
| Model ID | Google Pixel 9 Pro XL |
| Motherboard | komodo |
| 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% |
1554
289.0 IPS |
|
|
Image Classification (HP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (Q)
|
100% |
2420
450.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2506
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
6598
7.83 IPS |
|
|
Object Detection (SP)
|
98% |
1503
119.6 IPS |
|
|
Object Detection (HP)
|
98% |
1568
124.8 IPS |
|
|
Object Detection (Q)
|
83% |
2250
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4992
59.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3053
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3246
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5160
47.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7287
9.46 IPS |
|
|
Style Transfer (HP)
|
89% |
7189
9.33 IPS |
|
|
Style Transfer (Q)
|
98% |
14021
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3578
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.1 IPS |
|
|
Text Classification (HP)
|
99% |
733
978.4 IPS |
|
|
Text Classification (Q)
|
88% |
1321
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (Q)
|
50% |
783
27.8 IPS |
