Nothing Phone (1)
Geekbench AI Score
650
Single Precision Score
644
Half Precision Score
1326
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mkruta |
| Upload Date | March 05 2025 07:27 AM |
| Views | 9 |
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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
100% |
1395
259.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1658
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2024
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3742
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
1211
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
2996
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1534
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1535
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3048
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3578
4.64 IPS |
|
|
Style Transfer (HP)
|
89% |
3572
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
6459
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.5 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.3 IPS |
|
|
Text Classification (Q)
|
88% |
268
362.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.25 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
