Nothing Phone (1)
Geekbench AI Score
207
Single Precision Score
208
Half Precision Score
485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 04:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (Q)
|
99% |
315
58.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
368
5.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
841
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.65 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.66 IPS |
|
|
Object Detection (Q)
|
87% |
334
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.71 IPS |
|
|
Face Detection (Q)
|
97% |
717
8.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
637
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1272
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.7 IPS |
|
|
Text Classification (HP)
|
100% |
177
235.7 IPS |
|
|
Text Classification (Q)
|
91% |
346
464.9 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.67 IPS |
