Nothing Phone (1)
Geekbench AI Score
308
Single Precision Score
307
Half Precision Score
684
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
100% |
464
86.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
481
7.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
630
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1087
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
466
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (Q)
|
95% |
873
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
494
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
491
3.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1012
9.27 IPS |
|
|
Style Transfer (SP)
|
89% |
1128
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1122
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3889
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.4 IPS |
|
|
Text Classification (Q)
|
88% |
351
472.9 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
50% |
272
9.65 IPS |
