Google Pixel 6
Geekbench AI Score
321
Single Precision Score
1700
Half Precision Score
5448
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ray5 |
| Upload Date | December 15 2024 12:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
4323
804.0 IPS |
|
|
Image Classification (Q)
|
99% |
7174
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
3619
58.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9672
157.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
19400
22.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
47469
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
87% |
555
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (HP)
|
100% |
10188
121.1 IPS |
|
|
Face Detection (Q)
|
97% |
18862
224.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
20260
156.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27669
254.7 IPS |
|
|
Style Transfer (SP)
|
100% |
680
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
3222
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13623
504.8 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.3 IPS |
|
|
Text Classification (HP)
|
100% |
288
383.8 IPS |
|
|
Text Classification (Q)
|
92% |
1748
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
57% |
315
7.70 IPS |
