Google Pixel 10 Pro
Geekbench AI Score
359
Single Precision Score
653
Half Precision Score
3614
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 09:35 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 |
| 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 | 15.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
99% |
2680
499.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
10244
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
2268
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
2439
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (Q)
|
97% |
24601
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
23932
184.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
34351
316.2 IPS |
|
|
Style Transfer (SP)
|
100% |
798
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
3689
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8752
323.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11942
442.5 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.3 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.4 IPS |
|
|
Text Classification (Q)
|
91% |
362
487.2 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
186
4.55 IPS |
