Google Pixel 9 Pro XL
Geekbench AI Score
2016
Single Precision Score
2035
Half Precision Score
3094
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | sebeg_the_tea_boii |
| Upload Date | October 25 2024 03:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
1529
284.4 IPS |
|
|
Image Classification (Q)
|
100% |
2446
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2387
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2899
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
6489
7.70 IPS |
|
|
Object Detection (SP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (HP)
|
98% |
1564
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
2138
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4900
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3105
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3008
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5061
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7137
9.27 IPS |
|
|
Style Transfer (HP)
|
89% |
7041
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
13758
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.9 IPS |
|
|
Text Classification (HP)
|
99% |
679
905.7 IPS |
|
|
Text Classification (Q)
|
88% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
746
26.5 IPS |
