Google Pixel 8a
Geekbench AI Score
1559
Single Precision Score
1573
Half Precision Score
2378
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | septs |
| Upload Date | December 26 2024 06:29 AM |
| Views | 3 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1448
269.3 IPS |
|
|
Image Classification (HP)
|
100% |
1419
263.9 IPS |
|
|
Image Classification (Q)
|
100% |
2542
472.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2744
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2801
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2741
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5898
6.99 IPS |
|
|
Object Detection (SP)
|
98% |
1212
96.5 IPS |
|
|
Object Detection (HP)
|
98% |
1212
96.5 IPS |
|
|
Object Detection (Q)
|
83% |
1570
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (Q)
|
95% |
3517
42.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1989
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2116
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3341
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4960
6.44 IPS |
|
|
Style Transfer (HP)
|
89% |
4982
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9448
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2339
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
428
570.8 IPS |
|
|
Text Classification (HP)
|
99% |
449
598.8 IPS |
|
|
Text Classification (Q)
|
88% |
735
991.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
