Google Pixel 9 Pro XL
Geekbench AI Score
341
Single Precision Score
4214
Half Precision Score
6076
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Sprudent3 |
| Upload Date | October 30 2024 12:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
257
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
5394
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
6100
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
8578
139.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18658
303.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
32375
37.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63089
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
4997
396.3 IPS |
|
|
Object Detection (Q)
|
87% |
6630
531.9 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.15 IPS |
|
|
Face Detection (HP)
|
100% |
16471
195.7 IPS |
|
|
Face Detection (Q)
|
97% |
31135
371.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
456
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
32334
249.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
37318
343.5 IPS |
|
|
Style Transfer (SP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (Q)
|
27% |
209
4.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9139
337.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15555
576.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.8 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.5 IPS |
|
|
Text Classification (Q)
|
92% |
1129
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.26 IPS |
