Google Pixel 6a
Geekbench AI Score
865
Single Precision Score
1195
Half Precision Score
1001
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 02:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
398
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
97% |
557
103.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5779
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
9890
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9693
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
99% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
459
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (Q)
|
96% |
2394
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3082
23.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4261
32.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3423
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9651
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18423
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18618
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2005
74.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
147.0 IPS |
|
|
Text Classification (HP)
|
29% |
13
225.4 IPS |
|
|
Text Classification (Q)
|
29% |
11
188.6 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
43% |
71
4.14 IPS |
