Google Pixel 9 Pro XL
Geekbench AI Score
372
Single Precision Score
4500
Half Precision Score
8203
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 08:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
276
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
6512
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
7121
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
8460
137.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19511
317.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31442
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
64570
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (Q)
|
87% |
5955
477.7 IPS |
|
|
Face Detection (SP)
|
100% |
623
7.41 IPS |
|
|
Face Detection (HP)
|
100% |
15326
182.1 IPS |
|
|
Face Detection (Q)
|
97% |
32657
389.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
34904
268.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
41891
385.6 IPS |
|
|
Style Transfer (SP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
529
0.68 IPS |
|
|
Style Transfer (Q)
|
73% |
2808
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9031
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15849
587.3 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.9 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.5 IPS |
|
|
Text Classification (Q)
|
92% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
57% |
358
8.74 IPS |
