Google Pixel 6 Pro
Geekbench AI Score
307
Single Precision Score
1629
Half Precision Score
4621
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 09:02 AM |
| Views | 1 |
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% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
4373
813.2 IPS |
|
|
Image Classification (Q)
|
99% |
7128
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2176
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
330
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
19178
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
46825
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
87% |
551
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (HP)
|
100% |
9959
118.3 IPS |
|
|
Face Detection (Q)
|
97% |
19015
226.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
18987
146.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27326
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
638
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3095
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13580
503.2 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.8 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (Q)
|
92% |
1740
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.15 IPS |
