Google Pixel 8a
Geekbench AI Score
375
Single Precision Score
4360
Half Precision Score
7607
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:13 AM |
| Views | 10 |
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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
6280
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
7544
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6847
111.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13976
227.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30887
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63216
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
4178
331.4 IPS |
|
|
Object Detection (Q)
|
87% |
5662
454.2 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
14318
170.1 IPS |
|
|
Face Detection (Q)
|
97% |
26582
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
30554
235.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
34515
317.7 IPS |
|
|
Style Transfer (SP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
699
0.90 IPS |
|
|
Style Transfer (Q)
|
72% |
2861
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8523
314.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14694
544.5 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.4 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.5 IPS |
|
|
Text Classification (Q)
|
92% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.83 IPS |
