Nothing Phone (1)
Geekbench AI Score
823
Single Precision Score
791
Half Precision Score
1592
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Kekko01 |
| Upload Date | August 17 2024 09:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G+ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
100% |
1433
266.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2035
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3762
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
87% |
1422
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
2245
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1364
10.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
1307
10.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
2479
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3408
4.42 IPS |
|
|
Style Transfer (HP)
|
89% |
2698
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5470
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1283
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.4 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.8 IPS |
|
|
Text Classification (Q)
|
88% |
571
770.2 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
