Google Pixel 8a
Geekbench AI Score
1014
Single Precision Score
951
Half Precision Score
1299
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
984
183.0 IPS |
|
|
Image Classification (HP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (Q)
|
100% |
975
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2417
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2537
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
2769
3.28 IPS |
|
|
Object Detection (SP)
|
98% |
708
56.3 IPS |
|
|
Object Detection (HP)
|
98% |
492
39.1 IPS |
|
|
Object Detection (Q)
|
87% |
819
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
1767
21.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1161
8.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1083
8.37 IPS |
|
|
Depth Estimation (Q)
|
75% |
2118
17.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3657
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2624
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
4744
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.5 IPS |
|
|
Text Classification (HP)
|
99% |
233
310.7 IPS |
|
|
Text Classification (Q)
|
88% |
411
553.9 IPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
