Google Pixel 10 Pro XL
Geekbench AI Score
296
Single Precision Score
666
Half Precision Score
3267
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 07:19 AM |
| 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% |
159
29.5 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
99% |
2758
514.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
12341
200.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1814
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
87% |
2443
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
26489
315.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
25855
199.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
28123
258.9 IPS |
|
|
Style Transfer (SP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
571
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3172
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8982
331.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12340
457.3 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.0 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.4 IPS |
|
|
Text Classification (Q)
|
91% |
178
239.8 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
177
4.32 IPS |
