Google Pixel 9 Pro XL
Geekbench AI Score
404
Single Precision Score
4506
Half Precision Score
6682
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:45 PM |
| Views | 1 |
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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
4526
841.7 IPS |
|
|
Image Classification (Q)
|
99% |
8557
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
8445
136.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24192
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
31629
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63792
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
4536
359.8 IPS |
|
|
Object Detection (Q)
|
87% |
6125
491.4 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (HP)
|
100% |
16299
193.7 IPS |
|
|
Face Detection (Q)
|
97% |
33231
396.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
36076
277.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
41899
385.7 IPS |
|
|
Style Transfer (SP)
|
100% |
849
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
842
1.08 IPS |
|
|
Style Transfer (Q)
|
27% |
225
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9285
342.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16227
601.3 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.8 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.7 IPS |
|
|
Text Classification (Q)
|
92% |
1300
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.10 IPS |
