Google Pixel 9 Pro XL
Geekbench AI Score
731
Single Precision Score
858
Half Precision Score
835
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | sebeg_the_tea_boii |
| Upload Date | October 25 2024 06:59 PM |
| Views | 7 |
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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.7 IPS |
|
|
Image Classification (Q)
|
99% |
454
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1219
19.8 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% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
463
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
1469
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1388
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
983
7.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1208
9.31 IPS |
|
|
Depth Estimation (Q)
|
62% |
974
9.22 IPS |
|
|
Style Transfer (SP)
|
100% |
2712
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3501
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3509
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.3 IPS |
|
|
Text Classification (HP)
|
100% |
436
581.5 IPS |
|
|
Text Classification (Q)
|
91% |
727
977.2 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
57% |
428
10.5 IPS |
