Google Pixel 9 Pro XL
Geekbench AI Score
357
Single Precision Score
4419
Half Precision Score
8140
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 02:32 PM |
| Views | 5 |
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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
4292
798.2 IPS |
|
|
Image Classification (Q)
|
99% |
5931
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
8136
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18190
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31725
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63109
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.8 IPS |
|
|
Object Detection (Q)
|
87% |
6569
527.0 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
16344
194.2 IPS |
|
|
Face Detection (Q)
|
97% |
33048
394.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
459
3.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
32639
251.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
41129
378.6 IPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
73% |
2940
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9151
337.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15941
590.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.0 IPS |
|
|
Text Classification (HP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (Q)
|
92% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.50 IPS |
