Google Pixel 9 Pro XL
Geekbench AI Score
2018
Single Precision Score
2025
Half Precision Score
3041
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 04:12 AM |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
1565
291.0 IPS |
|
|
Image Classification (Q)
|
100% |
2338
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2507
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2831
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6261
7.43 IPS |
|
|
Object Detection (SP)
|
98% |
1489
118.5 IPS |
|
|
Object Detection (HP)
|
98% |
1428
113.6 IPS |
|
|
Object Detection (Q)
|
83% |
1947
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4936
58.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3107
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5055
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6830
8.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6972
9.05 IPS |
|
|
Style Transfer (Q)
|
98% |
13329
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3455
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
961.9 IPS |
|
|
Text Classification (HP)
|
99% |
717
957.2 IPS |
|
|
Text Classification (Q)
|
88% |
1212
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
681
24.2 IPS |
