Nothing Phone (1)
Geekbench AI Score
779
Single Precision Score
779
Half Precision Score
1476
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 08:12 PM |
| Views | 3 |
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% |
441
81.9 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
100% |
1272
236.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1506
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1927
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3351
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1252
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2170
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1314
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1306
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2125
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2701
3.51 IPS |
|
|
Style Transfer (HP)
|
89% |
2693
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5431
7.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1267
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.7 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.9 IPS |
|
|
Text Classification (Q)
|
88% |
560
754.9 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.40 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
