Google Pixel 8a
Geekbench AI Score
920
Single Precision Score
1388
Half Precision Score
1026
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 10:48 PM |
| 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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
97% |
412
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1490
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4907
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
12538
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12002
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
99% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
83% |
581
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2488
29.6 IPS |
|
|
Face Detection (Q)
|
96% |
2252
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3246
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5448
42.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4464
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7560
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
19963
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18522
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2273
84.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
146.1 IPS |
|
|
Text Classification (HP)
|
35% |
21
187.7 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.1 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
