Nothing A001
Geekbench AI Score
270
Single Precision Score
316
Half Precision Score
347
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A001 |
| Model ID | Nothing A001 |
| Motherboard | Galaga |
| 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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (Q)
|
99% |
244
45.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
252
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
217
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (Q)
|
97% |
732
8.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
|
Depth Estimation (Q)
|
62% |
384
3.64 IPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1182
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1177
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
224
8.29 IPS |
|
|
Text Classification (SP)
|
100% |
110
147.3 IPS |
|
|
Text Classification (HP)
|
100% |
110
146.9 IPS |
|
|
Text Classification (Q)
|
91% |
287
385.9 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
57% |
219
5.35 IPS |
