Google Pixel 6
Geekbench AI Score
297
Single Precision Score
1632
Half Precision Score
5150
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ray5 |
| Upload Date | February 20 2025 05:09 AM |
| Views | 4 |
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% |
207
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
4414
820.8 IPS |
|
|
Image Classification (Q)
|
99% |
6857
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
3520
57.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9597
156.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
330
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
19303
22.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
46966
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
87% |
537
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
10021
119.1 IPS |
|
|
Face Detection (Q)
|
97% |
18962
226.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
19663
151.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
27297
251.3 IPS |
|
|
Style Transfer (SP)
|
100% |
657
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3018
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11338
420.1 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.7 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.9 IPS |
|
|
Text Classification (Q)
|
92% |
1563
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
