Google Pixel 9 Pro XL
Geekbench AI Score
733
Single Precision Score
852
Half Precision Score
818
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
456
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
452
84.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
730
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1379
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
62% |
976
9.24 IPS |
|
|
Style Transfer (SP)
|
100% |
2696
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3485
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.0 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (Q)
|
91% |
725
974.9 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
450
11.0 IPS |
