Google Pixel 10 Pro XL
Geekbench AI Score
520
Single Precision Score
1048
Half Precision Score
4743
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 08:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro XL |
| Model ID | Google Pixel 10 Pro XL |
| Motherboard | mustang |
| 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 | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
7544
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
11381
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
4088
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
87% |
3074
246.6 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
688
8.18 IPS |
|
|
Face Detection (Q)
|
97% |
21016
250.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
37019
285.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
38480
354.2 IPS |
|
|
Style Transfer (SP)
|
100% |
977
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3842
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8296
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13966
517.5 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.5 IPS |
|
|
Text Classification (HP)
|
100% |
531
708.8 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.9 IPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
399
9.76 IPS |
