Google Pixel 8a
Geekbench AI Score
901
Single Precision Score
1306
Half Precision Score
1032
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 06:32 PM |
| Views | 5 |
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% |
401
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
97% |
370
69.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1763
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
12293
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11908
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
99% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
83% |
607
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (Q)
|
96% |
2276
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3260
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5402
41.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4379
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7471
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
19366
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18406
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2037
75.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
126.1 IPS |
|
|
Text Classification (HP)
|
35% |
18
161.3 IPS |
|
|
Text Classification (Q)
|
32% |
12
161.3 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
