Nothing Phone (1)
Geekbench AI Score
207
Single Precision Score
208
Half Precision Score
498
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 03 2026 03:59 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
366
5.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
870
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.64 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
87% |
358
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
97% |
718
8.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
649
5.89 IPS |
|
|
Style Transfer (SP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1275
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.8 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.0 IPS |
|
|
Text Classification (Q)
|
91% |
346
464.8 IPS |
|
|
Machine Translation (SP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.27 IPS |
