Google Pixel 8a
Geekbench AI Score
752
Single Precision Score
790
Half Precision Score
1357
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2024 03:43 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% |
682
126.9 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.7 IPS |
|
|
Image Classification (Q)
|
100% |
1060
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1215
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1491
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1495
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3347
3.97 IPS |
|
|
Object Detection (SP)
|
98% |
488
38.8 IPS |
|
|
Object Detection (HP)
|
98% |
487
38.8 IPS |
|
|
Object Detection (Q)
|
87% |
812
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2414
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1165
9.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
9.02 IPS |
|
|
Depth Estimation (Q)
|
75% |
2007
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2647
3.44 IPS |
|
|
Style Transfer (HP)
|
89% |
2669
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
7072
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1218
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.0 IPS |
|
|
Text Classification (HP)
|
99% |
237
316.5 IPS |
|
|
Text Classification (Q)
|
88% |
421
568.1 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
