Google Pixel 10 Pro
Geekbench AI Score
312
Single Precision Score
688
Half Precision Score
3171
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | musarikhotso |
| Upload Date | February 22 2026 04:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro |
| Model ID | Google Pixel 10 Pro |
| Motherboard | blazer |
| 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 | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (Q)
|
99% |
4109
766.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
10735
174.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
2172
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
87% |
2406
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
97% |
16285
194.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
26009
200.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33717
310.4 IPS |
|
|
Style Transfer (SP)
|
100% |
531
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2653
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8723
322.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12699
470.5 IPS |
|
|
Text Classification (SP)
|
100% |
271
362.2 IPS |
|
|
Text Classification (HP)
|
100% |
276
367.8 IPS |
|
|
Text Classification (Q)
|
91% |
137
184.7 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (Q)
|
57% |
176
4.30 IPS |
