Nothing A015
Geekbench AI Score
273
Single Precision Score
321
Half Precision Score
346
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | naaajsboy |
| Upload Date | September 02 2024 10:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A015 |
| Model ID | Nothing A015 |
| Motherboard | Tetris |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
97% |
209
39.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
413
6.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
252
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
92% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
97% |
736
8.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
72% |
440
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
994
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1185
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1185
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
232
8.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
228
8.46 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.0 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.7 IPS |
|
|
Text Classification (Q)
|
91% |
289
388.3 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (Q)
|
57% |
222
5.41 IPS |
