Google Pixel 9 Pro XL
Geekbench AI Score
1877
Single Precision Score
1858
Half Precision Score
2706
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 03:47 PM |
| Views | 2 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (Q)
|
100% |
2309
429.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2871
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2773
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
6224
7.38 IPS |
|
|
Object Detection (SP)
|
98% |
1485
118.2 IPS |
|
|
Object Detection (HP)
|
98% |
1460
116.2 IPS |
|
|
Object Detection (Q)
|
83% |
1981
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4739
56.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2931
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4981
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6842
8.88 IPS |
|
|
Style Transfer (HP)
|
89% |
6657
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
12095
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2503
92.8 IPS |
|
|
Text Classification (SP)
|
100% |
491
654.8 IPS |
|
|
Text Classification (HP)
|
99% |
522
696.6 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
