Google Pixel 6 Pro
Geekbench AI Score
221
Single Precision Score
1379
Half Precision Score
5111
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | December 30 2024 01:33 PM |
| Views | 6 |
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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
4310
801.6 IPS |
|
|
Image Classification (Q)
|
99% |
6876
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10081
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19893
23.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
48761
57.1 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.82 IPS |
|
|
Object Detection (Q)
|
87% |
398
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
8619
102.4 IPS |
|
|
Face Detection (Q)
|
97% |
19556
233.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
21591
166.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27400
252.2 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2785
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13516
500.8 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.8 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (Q)
|
92% |
1631
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.73 IPS |
