Google Pixel 8a
Geekbench AI Score
1838
Single Precision Score
1699
Half Precision Score
3170
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1079
200.7 IPS |
|
|
Image Classification (HP)
|
100% |
993
184.6 IPS |
|
|
Image Classification (Q)
|
100% |
2608
485.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2613
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2851
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
6507
7.72 IPS |
|
|
Object Detection (SP)
|
98% |
1363
108.5 IPS |
|
|
Object Detection (HP)
|
98% |
1284
102.2 IPS |
|
|
Object Detection (Q)
|
83% |
2274
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (Q)
|
95% |
5344
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2822
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2875
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5227
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6749
8.76 IPS |
|
|
Style Transfer (HP)
|
89% |
6691
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
13562
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3619
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.7 IPS |
|
|
Text Classification (HP)
|
99% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
680
24.1 IPS |
