Google Pixel 9 Pro XL
Geekbench AI Score
355
Single Precision Score
4350
Half Precision Score
6150
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 01:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
5912
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
5803
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
8881
144.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17055
277.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
31813
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
64529
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
4882
387.3 IPS |
|
|
Object Detection (Q)
|
87% |
6894
553.0 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
16132
191.7 IPS |
|
|
Face Detection (Q)
|
97% |
28059
334.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
435
3.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
33492
258.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
40138
369.5 IPS |
|
|
Style Transfer (SP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (Q)
|
27% |
197
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9071
335.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18284
677.5 IPS |
|
|
Text Classification (SP)
|
100% |
213
283.7 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.0 IPS |
|
|
Text Classification (Q)
|
92% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
57% |
364
8.91 IPS |
