Google Pixel 9 Pro XL
Geekbench AI Score
1511
Single Precision Score
1477
Half Precision Score
2237
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | qingluoa |
| Upload Date | October 09 2024 11:17 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% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (Q)
|
100% |
2295
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2424
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1958
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
4563
5.41 IPS |
|
|
Object Detection (SP)
|
98% |
988
78.6 IPS |
|
|
Object Detection (HP)
|
98% |
918
73.0 IPS |
|
|
Object Detection (Q)
|
83% |
1316
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3391
40.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3262
29.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5099
6.62 IPS |
|
|
Style Transfer (HP)
|
89% |
5104
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
9709
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2334
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.3 IPS |
|
|
Text Classification (HP)
|
99% |
445
593.3 IPS |
|
|
Text Classification (Q)
|
88% |
790
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
