Google Pixel 8a
Geekbench AI Score
314
Single Precision Score
3605
Half Precision Score
6398
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 06:43 PM |
| Views | 5 |
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% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.8 IPS |
|
|
Image Classification (Q)
|
99% |
6300
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13445
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
30238
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
60612
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
4209
333.9 IPS |
|
|
Object Detection (Q)
|
87% |
4491
360.3 IPS |
|
|
Face Detection (SP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (HP)
|
100% |
10760
127.9 IPS |
|
|
Face Detection (Q)
|
97% |
26912
320.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
27694
213.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
29241
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
570
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2341
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7582
280.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11928
442.0 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.9 IPS |
|
|
Text Classification (Q)
|
92% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.24 IPS |
