Google Pixel 9 Pro XL
Geekbench AI Score
363
Single Precision Score
4693
Half Precision Score
6600
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | kent_tester |
| Upload Date | August 30 2024 01:45 PM |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
6154
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
7276
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
8759
142.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20992
341.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
31797
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
64361
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
5509
437.0 IPS |
|
|
Object Detection (Q)
|
90% |
7362
588.6 IPS |
|
|
Face Detection (SP)
|
100% |
600
7.14 IPS |
|
|
Face Detection (HP)
|
100% |
18551
220.4 IPS |
|
|
Face Detection (Q)
|
97% |
33029
393.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
35612
274.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
46183
389.1 IPS |
|
|
Style Transfer (SP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
774
1.00 IPS |
|
|
Style Transfer (Q)
|
27% |
204
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10235
377.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19345
716.8 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.0 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.7 IPS |
|
|
Text Classification (Q)
|
92% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.68 IPS |
