Google Pixel 8a
Geekbench AI Score
380
Single Precision Score
3911
Half Precision Score
5123
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
3555
661.1 IPS |
|
|
Image Classification (Q)
|
99% |
4382
817.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
7943
128.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20324
330.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
23928
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
48000
56.2 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
3803
301.6 IPS |
|
|
Object Detection (Q)
|
90% |
4769
381.3 IPS |
|
|
Face Detection (SP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (HP)
|
100% |
12490
148.4 IPS |
|
|
Face Detection (Q)
|
97% |
23768
283.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
486
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
24042
185.2 IPS |
|
|
Depth Estimation (Q)
|
70% |
34187
288.0 IPS |
|
|
Style Transfer (SP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
754
0.97 IPS |
|
|
Style Transfer (Q)
|
27% |
191
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13605
504.1 IPS |
|
|
Text Classification (SP)
|
100% |
374
498.5 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.4 IPS |
|
|
Text Classification (Q)
|
92% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
57% |
369
9.01 IPS |
