Google Pixel 9 Pro XL
Geekbench AI Score
1221
Single Precision Score
1186
Half Precision Score
1751
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 01:07 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
1468
272.9 IPS |
|
|
Image Classification (Q)
|
100% |
2407
447.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2314
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2481
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4593
5.45 IPS |
|
|
Object Detection (SP)
|
98% |
920
73.2 IPS |
|
|
Object Detection (HP)
|
98% |
926
73.7 IPS |
|
|
Object Detection (Q)
|
87% |
1162
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
2366
28.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
1548
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
2557
20.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3320
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3312
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6100
7.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1642
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.0 IPS |
|
|
Text Classification (HP)
|
99% |
314
419.6 IPS |
|
|
Text Classification (Q)
|
88% |
448
604.3 IPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
337
11.9 IPS |
