Google Pixel 9 Pro XL
Geekbench AI Score
2076
Single Precision Score
2135
Half Precision Score
3223
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:36 PM |
| Views | 2 |
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% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (Q)
|
100% |
2463
458.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2514
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3013
3.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
6787
8.05 IPS |
|
|
Object Detection (SP)
|
98% |
1593
126.8 IPS |
|
|
Object Detection (HP)
|
98% |
1603
127.5 IPS |
|
|
Object Detection (Q)
|
83% |
2037
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5090
60.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3285
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3296
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5189
47.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7466
9.69 IPS |
|
|
Style Transfer (HP)
|
89% |
7399
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
14615
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3637
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.3 IPS |
|
|
Text Classification (HP)
|
99% |
739
986.3 IPS |
|
|
Text Classification (Q)
|
88% |
1320
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
763
27.1 IPS |
