Google Pixel 6
Geekbench AI Score
196
Single Precision Score
1261
Half Precision Score
4784
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | musarikhotso |
| Upload Date | November 20 2024 07:29 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
137
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
4305
800.6 IPS |
|
|
Image Classification (Q)
|
99% |
7674
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9753
158.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
19233
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47828
56.0 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.09 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.93 IPS |
|
|
Object Detection (Q)
|
87% |
357
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
323
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
9876
117.3 IPS |
|
|
Face Detection (Q)
|
97% |
19051
227.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
17854
137.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
24038
221.3 IPS |
|
|
Style Transfer (SP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
416
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2464
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11425
423.3 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.7 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.5 IPS |
|
|
Text Classification (Q)
|
92% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
57% |
237
5.79 IPS |
