Nothing Phone (1)
Geekbench AI Score
330
Single Precision Score
327
Half Precision Score
675
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 03 2026 03:19 PM |
| Views | 12 |
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% |
170
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.2 IPS |
|
|
Image Classification (Q)
|
100% |
479
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
674
0.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
1098
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
484
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
95% |
916
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1065
9.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1203
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1179
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2350
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
625
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.9 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.2 IPS |
|
|
Text Classification (Q)
|
88% |
368
496.1 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
