Google Pixel 8a
Geekbench AI Score
916
Single Precision Score
1353
Half Precision Score
1051
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
97% |
306
57.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1674
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4927
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
12320
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11959
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (HP)
|
99% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
83% |
931
75.2 IPS |
|
|
Face Detection (SP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (Q)
|
96% |
2351
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3248
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5438
42.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4340
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7476
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19770
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18557
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1988
73.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.3 IPS |
|
|
Text Classification (HP)
|
35% |
21
186.4 IPS |
|
|
Text Classification (Q)
|
32% |
12
152.2 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.73 IPS |
