Nothing Phone (1)
Geekbench AI Score
309
Single Precision Score
310
Half Precision Score
647
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:15 PM |
| Views | 4 |
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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
100% |
465
86.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
476
7.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
641
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1085
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
95% |
869
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
473
3.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
980
8.97 IPS |
|
|
Style Transfer (SP)
|
89% |
1123
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1122
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2305
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
182
242.4 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.5 IPS |
|
|
Text Classification (Q)
|
88% |
355
478.4 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
50% |
271
9.62 IPS |
