Google Pixel 6
Geekbench AI Score
192
Single Precision Score
1206
Half Precision Score
4501
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | musarikhotso |
| Upload Date | March 24 2025 07:22 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
129
23.9 IPS |
|
|
Image Classification (HP)
|
100% |
3902
725.6 IPS |
|
|
Image Classification (Q)
|
99% |
6371
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
3171
51.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8268
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
193
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
16365
19.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
40432
47.3 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.81 IPS |
|
|
Object Detection (Q)
|
87% |
358
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (HP)
|
100% |
9215
109.5 IPS |
|
|
Face Detection (Q)
|
97% |
16820
200.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
17634
135.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
24926
229.5 IPS |
|
|
Style Transfer (SP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
405
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2511
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
116
4.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11669
432.4 IPS |
|
|
Text Classification (SP)
|
100% |
143
191.2 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.0 IPS |
|
|
Text Classification (Q)
|
92% |
1578
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.57 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.64 IPS |
