Google Pixel 9 Pro XL
Geekbench AI Score
436
Single Precision Score
4790
Half Precision Score
6370
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | quigonjohnn |
| Upload Date | September 11 2024 11:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
4886
908.6 IPS |
|
|
Image Classification (Q)
|
99% |
5570
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
8141
132.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18748
304.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
32082
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
63997
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (Q)
|
87% |
6758
542.1 IPS |
|
|
Face Detection (SP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (HP)
|
100% |
15173
180.3 IPS |
|
|
Face Detection (Q)
|
97% |
33941
404.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
35869
276.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
41629
383.2 IPS |
|
|
Style Transfer (SP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (Q)
|
27% |
228
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9979
368.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18168
673.2 IPS |
|
|
Text Classification (SP)
|
100% |
411
549.1 IPS |
|
|
Text Classification (HP)
|
100% |
401
534.7 IPS |
|
|
Text Classification (Q)
|
92% |
1244
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
335
8.18 IPS |
