Google Pixel 9 Pro XL
Geekbench AI Score
433
Single Precision Score
4670
Half Precision Score
6244
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | November 01 2024 10:49 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
280
52.0 IPS |
|
|
Image Classification (HP)
|
100% |
4760
885.3 IPS |
|
|
Image Classification (Q)
|
99% |
6612
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
8151
132.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17379
282.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31771
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63415
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
4548
360.7 IPS |
|
|
Object Detection (Q)
|
87% |
6790
544.7 IPS |
|
|
Face Detection (SP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
15358
182.5 IPS |
|
|
Face Detection (Q)
|
97% |
30519
363.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
542
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
32327
249.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
38601
355.3 IPS |
|
|
Style Transfer (SP)
|
100% |
815
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
801
1.03 IPS |
|
|
Style Transfer (Q)
|
27% |
221
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8738
322.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14612
541.5 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.0 IPS |
|
|
Text Classification (HP)
|
100% |
434
578.8 IPS |
|
|
Text Classification (Q)
|
92% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
431
10.5 IPS |
