Google Pixel 9 Pro XL
Geekbench AI Score
1253
Single Precision Score
1267
Half Precision Score
1870
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | August 24 2024 06:18 PM |
| Views | 5 |
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% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (Q)
|
100% |
2151
400.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4598
5.45 IPS |
|
|
Object Detection (SP)
|
98% |
919
73.1 IPS |
|
|
Object Detection (HP)
|
98% |
916
72.9 IPS |
|
|
Object Detection (Q)
|
87% |
1305
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
3360
40.1 IPS |
|
|
Depth Estimation (SP)
|
98% |
2056
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
3374
27.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3868
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3608
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
6883
8.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1592
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
313
418.1 IPS |
|
|
Text Classification (HP)
|
99% |
318
424.0 IPS |
|
|
Text Classification (Q)
|
88% |
450
606.7 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
