Google Pixel 9 Pro XL
Geekbench AI Score
729
Single Precision Score
835
Half Precision Score
818
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | timbro |
| Upload Date | November 17 2024 03:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
99% |
451
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
730
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
83% |
437
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1422
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
980
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.31 IPS |
|
|
Depth Estimation (Q)
|
62% |
972
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
2706
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3478
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3441
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
598
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.1 IPS |
|
|
Text Classification (HP)
|
100% |
442
590.2 IPS |
|
|
Text Classification (Q)
|
91% |
721
969.7 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
440
10.8 IPS |
