Google Pixel 9 Pro XL
Geekbench AI Score
458
Single Precision Score
4825
Half Precision Score
6295
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:47 PM |
| Views | 2 |
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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
4168
775.1 IPS |
|
|
Image Classification (Q)
|
99% |
6189
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
8598
139.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17754
288.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
31653
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
64312
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
5195
412.0 IPS |
|
|
Object Detection (Q)
|
87% |
6703
537.7 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
15777
187.5 IPS |
|
|
Face Detection (Q)
|
97% |
32626
389.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
33308
256.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
36405
335.1 IPS |
|
|
Style Transfer (SP)
|
100% |
863
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
853
1.10 IPS |
|
|
Style Transfer (Q)
|
27% |
227
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9202
339.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14789
548.0 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.9 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.9 IPS |
|
|
Text Classification (Q)
|
92% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
442
10.8 IPS |
