Google Pixel 8a
Geekbench AI Score
370
Single Precision Score
4376
Half Precision Score
5482
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3926
730.1 IPS |
|
|
Image Classification (Q)
|
99% |
6066
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
8531
138.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15521
252.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30176
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62248
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
4188
332.2 IPS |
|
|
Object Detection (Q)
|
87% |
5801
465.4 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
18491
219.7 IPS |
|
|
Face Detection (Q)
|
97% |
25305
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
29996
231.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
31286
288.0 IPS |
|
|
Style Transfer (SP)
|
100% |
721
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (Q)
|
27% |
190
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8256
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13139
486.9 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.2 IPS |
|
|
Text Classification (HP)
|
100% |
338
451.2 IPS |
|
|
Text Classification (Q)
|
92% |
984
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
519
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (Q)
|
57% |
371
9.06 IPS |
