Google Pixel 6 Pro
Geekbench AI Score
282
Single Precision Score
1465
Half Precision Score
4160
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 10:03 PM |
| Views | 4 |
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% |
187
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
3606
670.6 IPS |
|
|
Image Classification (Q)
|
99% |
6109
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1898
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16241
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
39759
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
89% |
490
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (HP)
|
100% |
8815
104.7 IPS |
|
|
Face Detection (Q)
|
97% |
16226
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
16744
129.0 IPS |
|
|
Depth Estimation (Q)
|
70% |
26291
221.5 IPS |
|
|
Style Transfer (SP)
|
100% |
601
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
602
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2926
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12096
448.2 IPS |
|
|
Text Classification (SP)
|
100% |
251
335.3 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.4 IPS |
|
|
Text Classification (Q)
|
92% |
1562
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.62 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.15 IPS |
