Google Pixel 9 Pro XL
Geekbench AI Score
1911
Single Precision Score
1877
Half Precision Score
2815
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| 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% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (Q)
|
100% |
2351
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2901
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2874
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6281
7.45 IPS |
|
|
Object Detection (SP)
|
98% |
1440
114.6 IPS |
|
|
Object Detection (HP)
|
98% |
1497
119.1 IPS |
|
|
Object Detection (Q)
|
83% |
1926
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4802
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5014
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7108
9.23 IPS |
|
|
Style Transfer (HP)
|
89% |
6999
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
13153
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2938
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
521
694.9 IPS |
|
|
Text Classification (HP)
|
99% |
518
691.1 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
511
18.1 IPS |
