Google Pixel 9 Pro XL
Geekbench AI Score
1588
Single Precision Score
1540
Half Precision Score
2220
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 05:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.8 IPS |
|
|
Image Classification (Q)
|
100% |
2277
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2296
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2085
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
4553
5.40 IPS |
|
|
Object Detection (SP)
|
98% |
950
75.6 IPS |
|
|
Object Detection (HP)
|
98% |
1032
82.1 IPS |
|
|
Object Detection (Q)
|
83% |
1380
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
2820
33.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2359
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2164
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3323
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5149
6.68 IPS |
|
|
Style Transfer (HP)
|
89% |
5152
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
10038
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2442
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.6 IPS |
|
|
Text Classification (HP)
|
99% |
477
636.4 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
