Google Pixel 6 Pro
Geekbench AI Score
337
Single Precision Score
1714
Half Precision Score
4680
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 09:38 AM |
| Views | 15 |
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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
4237
788.0 IPS |
|
|
Image Classification (Q)
|
99% |
6947
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2153
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
18903
22.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
46768
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
87% |
578
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
492
5.85 IPS |
|
|
Face Detection (HP)
|
100% |
10012
119.0 IPS |
|
|
Face Detection (Q)
|
97% |
18722
223.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
425
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
18295
141.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
27608
254.1 IPS |
|
|
Style Transfer (SP)
|
100% |
712
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3314
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
213
7.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13344
494.5 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.4 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.2 IPS |
|
|
Text Classification (Q)
|
92% |
1679
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.94 IPS |
