Google Pixel 9 Pro XL
Geekbench AI Score
560
Single Precision Score
686
Half Precision Score
674
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 01:16 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
458
85.1 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
97% |
451
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1033
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
92% |
423
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1452
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
991
7.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.25 IPS |
|
|
Depth Estimation (Q)
|
72% |
1109
9.18 IPS |
|
|
Style Transfer (SP)
|
100% |
2666
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3176
4.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3191
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
598
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.4 IPS |
|
|
Text Classification (HP)
|
100% |
112
150.0 IPS |
|
|
Text Classification (Q)
|
91% |
191
256.9 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
57% |
245
5.98 IPS |
