Nothing Phone (1)
Geekbench AI Score
208
Single Precision Score
210
Half Precision Score
8365
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 03 2026 04:16 PM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
6991
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
5840
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
47602
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.66 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
87% |
3546
284.5 IPS |
|
|
Face Detection (SP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
11320
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
19419
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
79735
102.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17053
631.9 IPS |
|
|
Text Classification (SP)
|
100% |
185
247.6 IPS |
|
|
Text Classification (HP)
|
100% |
186
247.7 IPS |
|
|
Text Classification (Q)
|
94% |
2390
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
52% |
341
10.3 IPS |
