Google Pixel 10 Pro
Geekbench AI Score
249
Single Precision Score
577
Half Precision Score
3004
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | noteventhrice |
| Upload Date | April 05 2026 02:23 AM |
| Views | 2 |
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% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.6 IPS |
|
|
Image Classification (Q)
|
99% |
3742
698.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
15420
250.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
1795
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
2422
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
14935
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
22227
171.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
29262
269.4 IPS |
|
|
Style Transfer (SP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
398
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1923
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8926
329.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12871
476.9 IPS |
|
|
Text Classification (SP)
|
100% |
166
220.9 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.3 IPS |
|
|
Text Classification (Q)
|
91% |
129
173.1 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
57% |
171
4.19 IPS |
