Google Pixel 8a
Geekbench AI Score
324
Single Precision Score
4074
Half Precision Score
7308
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
5942
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
7723
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15146
246.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30580
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61626
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
4541
360.2 IPS |
|
|
Object Detection (Q)
|
87% |
5346
428.8 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
11749
139.6 IPS |
|
|
Face Detection (Q)
|
97% |
22795
271.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
31889
245.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34332
316.0 IPS |
|
|
Style Transfer (SP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (Q)
|
73% |
1940
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8456
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14703
544.8 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.2 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (Q)
|
92% |
1590
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (Q)
|
57% |
318
7.78 IPS |
