Google Pixel 10
Geekbench AI Score
425
Single Precision Score
871
Half Precision Score
3552
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | ElCabri |
| Upload Date | March 23 2026 10:06 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G5 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 |
| Model ID | Google Pixel 10 |
| Motherboard | frankel |
| 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 | 11.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
99% |
3391
632.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
12103
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
401
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2642
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
3431
275.2 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (Q)
|
97% |
15350
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
24873
191.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
30342
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
833
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
3750
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8439
311.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12340
457.3 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.2 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.4 IPS |
|
|
Text Classification (Q)
|
91% |
206
276.2 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (Q)
|
57% |
194
4.75 IPS |
