Google Pixel 6a
Geekbench AI Score
212
Single Precision Score
1334
Half Precision Score
4849
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | r1348 |
| Upload Date | March 15 2025 05:33 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| 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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (HP)
|
100% |
4302
800.1 IPS |
|
|
Image Classification (Q)
|
99% |
6842
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
3446
55.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9144
148.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
18817
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
44397
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.49 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.63 IPS |
|
|
Object Detection (Q)
|
87% |
387
31.0 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (HP)
|
100% |
9414
111.9 IPS |
|
|
Face Detection (Q)
|
97% |
16892
201.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
18080
139.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
26158
240.8 IPS |
|
|
Style Transfer (SP)
|
100% |
466
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
455
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2767
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13205
489.3 IPS |
|
|
Text Classification (SP)
|
100% |
183
243.7 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
92% |
1503
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.75 IPS |
