Google Pixel 9 Pro XL
Geekbench AI Score
2136
Single Precision Score
2130
Half Precision Score
3327
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Quiltermatt |
| Upload Date | August 23 2024 12:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1572
292.3 IPS |
|
|
Image Classification (HP)
|
100% |
1570
292.0 IPS |
|
|
Image Classification (Q)
|
100% |
2467
458.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2941
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6658
7.90 IPS |
|
|
Object Detection (SP)
|
98% |
1563
124.4 IPS |
|
|
Object Detection (HP)
|
98% |
1602
127.4 IPS |
|
|
Object Detection (Q)
|
87% |
2339
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5072
60.6 IPS |
|
|
Depth Estimation (SP)
|
98% |
3324
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3326
25.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
5946
48.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7431
9.65 IPS |
|
|
Style Transfer (HP)
|
89% |
7342
9.53 IPS |
|
|
Style Transfer (Q)
|
98% |
14447
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3600
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.7 IPS |
|
|
Text Classification (HP)
|
99% |
733
977.7 IPS |
|
|
Text Classification (Q)
|
88% |
1276
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
843
29.9 IPS |
