Google Pixel 9 Pro XL
Geekbench AI Score
2062
Single Precision Score
2103
Half Precision Score
3159
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | September 03 2025 03:08 AM |
| Views | 12 |
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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1599
297.3 IPS |
|
|
Image Classification (Q)
|
100% |
2421
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2572
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2910
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6514
7.73 IPS |
|
|
Object Detection (SP)
|
98% |
1489
118.5 IPS |
|
|
Object Detection (HP)
|
98% |
1584
126.0 IPS |
|
|
Object Detection (Q)
|
83% |
2204
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4926
58.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2981
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3090
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5078
46.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7358
9.55 IPS |
|
|
Style Transfer (HP)
|
89% |
7194
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
14043
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3563
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
686
915.8 IPS |
|
|
Text Classification (HP)
|
99% |
729
972.6 IPS |
|
|
Text Classification (Q)
|
88% |
1180
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (Q)
|
50% |
750
26.6 IPS |
