Google Pixel 9 Pro XL
Geekbench AI Score
1036
Single Precision Score
1618
Half Precision Score
1279
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | BenchesBeTrippin |
| Upload Date | August 27 2025 08:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
462
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (Q)
|
97% |
443
82.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2084
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5313
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13648
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12865
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (HP)
|
99% |
1001
79.4 IPS |
|
|
Object Detection (Q)
|
83% |
1034
83.5 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (Q)
|
96% |
2622
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3652
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6099
47.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4796
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8106
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21343
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20212
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2248
83.3 IPS |
|
|
Text Classification (SP)
|
35% |
20
181.8 IPS |
|
|
Text Classification (HP)
|
35% |
29
262.7 IPS |
|
|
Text Classification (Q)
|
32% |
18
235.9 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
43% |
93
5.39 IPS |
