Google Pixel 6 Pro
Geekbench AI Score
306
Single Precision Score
1630
Half Precision Score
5321
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
206
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
4275
795.0 IPS |
|
|
Image Classification (Q)
|
99% |
6847
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9729
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
322
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
19244
22.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
46458
54.4 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (Q)
|
87% |
554
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
10083
119.8 IPS |
|
|
Face Detection (Q)
|
97% |
18912
225.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
19000
146.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
27294
251.3 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3090
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13339
494.3 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.6 IPS |
|
|
Text Classification (Q)
|
92% |
1682
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.27 IPS |
