Google Pixel 9 Pro XL
Geekbench AI Score
729
Single Precision Score
836
Half Precision Score
813
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| 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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (Q)
|
99% |
451
84.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
736
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
436
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1377
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
978
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
1202
9.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
978
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
2690
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3482
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3499
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.7 IPS |
|
|
Text Classification (HP)
|
100% |
451
602.1 IPS |
|
|
Text Classification (Q)
|
91% |
724
973.6 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
447
10.9 IPS |
