Google Pixel 8a
Geekbench AI Score
1224
Single Precision Score
1258
Half Precision Score
1953
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:23 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
975
181.4 IPS |
|
|
Image Classification (HP)
|
100% |
1461
271.7 IPS |
|
|
Image Classification (Q)
|
100% |
2249
418.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2351
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
4451
5.28 IPS |
|
|
Object Detection (SP)
|
98% |
766
61.0 IPS |
|
|
Object Detection (HP)
|
98% |
702
55.9 IPS |
|
|
Object Detection (Q)
|
83% |
1061
85.7 IPS |
|
|
Face Detection (SP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
2301
27.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1472
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2119
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3402
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5007
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
5012
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9554
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1774
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
312
415.8 IPS |
|
|
Text Classification (HP)
|
99% |
315
420.3 IPS |
|
|
Text Classification (Q)
|
88% |
517
696.8 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.7 IPS |
