Google Pixel 8a
Geekbench AI Score
1092
Single Precision Score
1002
Half Precision Score
1576
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 10:54 AM |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (Q)
|
100% |
2283
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2387
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2475
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1861
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3459
4.10 IPS |
|
|
Object Detection (SP)
|
98% |
697
55.4 IPS |
|
|
Object Detection (HP)
|
98% |
677
53.9 IPS |
|
|
Object Detection (Q)
|
83% |
985
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
1944
23.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2005
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1958
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3411
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4957
6.44 IPS |
|
|
Style Transfer (HP)
|
89% |
4412
5.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4572
5.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
559
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1255
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.8 IPS |
|
|
Text Classification (HP)
|
99% |
251
335.3 IPS |
|
|
Text Classification (Q)
|
88% |
434
585.3 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
50% |
310
11.0 IPS |
