Google Pixel 8a
Geekbench AI Score
1201
Single Precision Score
1120
Half Precision Score
1856
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 11:34 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (Q)
|
100% |
2360
438.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2669
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
5018
5.95 IPS |
|
|
Object Detection (SP)
|
98% |
551
43.9 IPS |
|
|
Object Detection (HP)
|
98% |
1087
86.5 IPS |
|
|
Object Detection (Q)
|
83% |
895
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2273
27.0 IPS |
|
|
Face Detection (Q)
|
95% |
1978
23.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2029
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3417
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5051
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
4970
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
9383
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
570
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1277
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.8 IPS |
|
|
Text Classification (HP)
|
99% |
254
338.5 IPS |
|
|
Text Classification (Q)
|
88% |
453
611.6 IPS |
|
|
Machine Translation (SP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
468
16.6 IPS |
