Nothing Phone (1)
Geekbench AI Score
255
Single Precision Score
251
Half Precision Score
510
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
100% |
410
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
453
7.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
581
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
585
0.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
1060
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
434
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (HP)
|
100% |
270
3.21 IPS |
|
|
Face Detection (Q)
|
95% |
628
7.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
374
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
374
2.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
692
6.34 IPS |
|
|
Style Transfer (SP)
|
89% |
842
1.09 IPS |
|
|
Style Transfer (HP)
|
89% |
836
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
1647
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
121
162.1 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.4 IPS |
|
|
Text Classification (Q)
|
88% |
242
326.9 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
50% |
188
6.67 IPS |
