Nothing Phone (1)
Geekbench AI Score
305
Single Precision Score
358
Half Precision Score
361
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing Phone (1) |
| Model ID | Nothing A063 |
| Motherboard | Spacewar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
97% |
188
35.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
367
5.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
322
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
240
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
89% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (Q)
|
97% |
694
8.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.24 IPS |
|
|
Depth Estimation (Q)
|
62% |
546
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
973
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1549
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
1551
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
335
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.9 IPS |
|
|
Text Classification (Q)
|
91% |
307
412.5 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.65 IPS |
