Google Pixel 9 Pro XL
Geekbench AI Score
1498
Single Precision Score
1476
Half Precision Score
2198
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 03:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| 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% |
1368
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.7 IPS |
|
|
Image Classification (Q)
|
100% |
2088
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2039
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2473
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2100
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
4690
5.56 IPS |
|
|
Object Detection (SP)
|
98% |
968
77.0 IPS |
|
|
Object Detection (HP)
|
98% |
917
73.0 IPS |
|
|
Object Detection (Q)
|
83% |
1332
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3377
40.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2148
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3371
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5031
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5048
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9816
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2329
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (HP)
|
99% |
460
614.2 IPS |
|
|
Text Classification (Q)
|
88% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
