Google Pixel 9 Pro XL
Geekbench AI Score
464
Single Precision Score
4941
Half Precision Score
6883
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Aisaka |
| Upload Date | August 22 2024 12:17 PM |
| Views | 3 |
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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
4254
791.0 IPS |
|
|
Image Classification (Q)
|
99% |
5752
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
8800
142.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22598
367.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
32126
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
64605
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (Q)
|
90% |
7282
582.2 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
16626
197.6 IPS |
|
|
Face Detection (Q)
|
97% |
33792
402.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
32667
251.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
47442
399.7 IPS |
|
|
Style Transfer (SP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
887
1.14 IPS |
|
|
Style Transfer (Q)
|
27% |
239
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10354
382.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19545
724.2 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.5 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.5 IPS |
|
|
Text Classification (Q)
|
92% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
447
10.9 IPS |
