Google Pixel 8a
Geekbench AI Score
891
Single Precision Score
1401
Half Precision Score
1078
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:40 AM |
| Views | 12 |
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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
97% |
411
76.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1913
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4887
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
11925
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11654
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.5 IPS |
|
|
Object Detection (HP)
|
99% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (Q)
|
96% |
2396
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5707
44.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4379
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7495
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
19316
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18290
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2130
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
35% |
17
150.7 IPS |
|
|
Text Classification (HP)
|
35% |
17
153.5 IPS |
|
|
Text Classification (Q)
|
32% |
16
211.3 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
