Google Pixel 8a
Geekbench AI Score
1608
Single Precision Score
1520
Half Precision Score
2396
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 09:21 PM |
| Views | 11 |
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% |
1500
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (Q)
|
100% |
2592
482.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2567
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2798
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6165
7.31 IPS |
|
|
Object Detection (SP)
|
98% |
1285
102.3 IPS |
|
|
Object Detection (HP)
|
98% |
1192
94.9 IPS |
|
|
Object Detection (Q)
|
83% |
1760
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
2452
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (Q)
|
95% |
3507
41.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2198
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2140
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3424
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4986
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4992
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9682
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2410
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.4 IPS |
|
|
Text Classification (HP)
|
99% |
455
607.3 IPS |
|
|
Text Classification (Q)
|
88% |
653
881.0 IPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
