Google Pixel 6a
Geekbench AI Score
272
Single Precision Score
1410
Half Precision Score
3946
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:51 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
3884
722.4 IPS |
|
|
Image Classification (Q)
|
99% |
6380
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1840
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15826
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
37152
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
89% |
420
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
8185
97.3 IPS |
|
|
Face Detection (Q)
|
97% |
15563
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
363
2.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
16346
125.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
24318
204.9 IPS |
|
|
Style Transfer (SP)
|
100% |
551
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
540
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
2742
3.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11371
421.3 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.2 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.7 IPS |
|
|
Text Classification (Q)
|
92% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.62 IPS |
