Google Pixel 9 Pro XL
Geekbench AI Score
2052
Single Precision Score
2082
Half Precision Score
3092
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 05:30 AM |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (Q)
|
100% |
2472
459.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2531
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6512
7.72 IPS |
|
|
Object Detection (SP)
|
98% |
1573
125.2 IPS |
|
|
Object Detection (HP)
|
98% |
1531
121.8 IPS |
|
|
Object Detection (Q)
|
83% |
1996
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
4744
56.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3244
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3083
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4973
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7277
9.45 IPS |
|
|
Style Transfer (HP)
|
89% |
7175
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
13928
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3629
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
673
898.7 IPS |
|
|
Text Classification (HP)
|
99% |
738
984.5 IPS |
|
|
Text Classification (Q)
|
88% |
1249
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
