Google Pixel 9 Pro XL
Geekbench AI Score
737
Single Precision Score
802
Half Precision Score
820
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | November 24 2024 09:26 PM |
| Views | 5 |
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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.6 IPS |
|
|
Image Classification (Q)
|
99% |
452
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.1 IPS |
|
|
Object Detection (Q)
|
83% |
437
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1387
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
988
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
62% |
978
9.26 IPS |
|
|
Style Transfer (SP)
|
100% |
2698
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3498
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3491
4.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.0 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.1 IPS |
|
|
Text Classification (Q)
|
91% |
728
978.7 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
449
11.0 IPS |
