Google Pixel 9 Pro XL
Geekbench AI Score
382
Single Precision Score
4397
Half Precision Score
6144
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 01:01 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
4223
785.4 IPS |
|
|
Image Classification (Q)
|
99% |
5651
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
8823
143.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19498
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
31592
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63746
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
5216
413.8 IPS |
|
|
Object Detection (Q)
|
87% |
6764
542.6 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
16335
194.1 IPS |
|
|
Face Detection (Q)
|
97% |
33506
399.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
33005
254.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
37906
348.9 IPS |
|
|
Style Transfer (SP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
541
0.70 IPS |
|
|
Style Transfer (Q)
|
27% |
195
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8750
323.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15422
571.4 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.6 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.1 IPS |
|
|
Text Classification (Q)
|
92% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.91 IPS |
