Google Pixel 8a
Geekbench AI Score
1215
Single Precision Score
1158
Half Precision Score
1718
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 13 2024 09:29 AM |
| Views | 3 |
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% |
1542
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
1073
199.5 IPS |
|
|
Image Classification (Q)
|
100% |
2338
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2809
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2911
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1598
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
3111
3.69 IPS |
|
|
Object Detection (SP)
|
98% |
471
37.4 IPS |
|
|
Object Detection (HP)
|
98% |
966
76.9 IPS |
|
|
Object Detection (Q)
|
83% |
892
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (Q)
|
95% |
1965
23.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1210
9.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2530
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5086
6.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2760
3.58 IPS |
|
|
Style Transfer (Q)
|
98% |
9428
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
581
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1250
46.3 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.5 IPS |
|
|
Text Classification (HP)
|
99% |
455
606.8 IPS |
|
|
Text Classification (Q)
|
88% |
451
607.8 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
