Google Pixel 6 Pro
Geekbench AI Score
256
Single Precision Score
1435
Half Precision Score
4112
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 10 2024 10:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (HP)
|
100% |
4435
824.9 IPS |
|
|
Image Classification (Q)
|
99% |
7197
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
261
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
16276
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
39830
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
87% |
455
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (Q)
|
97% |
16209
193.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
333
2.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
16719
128.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
23706
218.2 IPS |
|
|
Style Transfer (SP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2766
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11282
418.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.8 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.3 IPS |
|
|
Text Classification (Q)
|
92% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.45 IPS |
