Google Pixel 6 Pro
Geekbench AI Score
311
Single Precision Score
1637
Half Precision Score
4455
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 16 2024 11:44 PM |
| Views | 2 |
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% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
4301
799.9 IPS |
|
|
Image Classification (Q)
|
99% |
6985
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
3543
57.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2163
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
19173
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
46757
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
87% |
524
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
9876
117.4 IPS |
|
|
Face Detection (Q)
|
97% |
18870
225.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
387
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
19041
146.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
27263
251.0 IPS |
|
|
Style Transfer (SP)
|
100% |
637
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
643
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3091
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
190
7.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11252
416.9 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.2 IPS |
|
|
Text Classification (Q)
|
92% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
57% |
303
7.41 IPS |
