Google Pixel 9 Pro XL
Geekbench AI Score
2065
Single Precision Score
2112
Half Precision Score
3193
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 12:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1229
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (Q)
|
100% |
2363
439.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2481
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3004
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
6731
7.98 IPS |
|
|
Object Detection (SP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (HP)
|
98% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
83% |
2255
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5067
60.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3243
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3340
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5203
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7416
9.63 IPS |
|
|
Style Transfer (HP)
|
89% |
7399
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
14196
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3547
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.7 IPS |
|
|
Text Classification (HP)
|
99% |
702
936.4 IPS |
|
|
Text Classification (Q)
|
88% |
1215
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
769
27.3 IPS |
