Nothing Phone (1)
Geekbench AI Score
159
Single Precision Score
156
Half Precision Score
361
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Kekko01 |
| Upload Date | August 17 2024 10:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
366
5.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
546
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.25 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.28 IPS |
|
|
Object Detection (Q)
|
89% |
230
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
211
2.50 IPS |
|
|
Face Detection (HP)
|
100% |
212
2.52 IPS |
|
|
Face Detection (Q)
|
97% |
472
5.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
179
1.38 IPS |
|
|
Depth Estimation (HP)
|
100% |
180
1.39 IPS |
|
|
Depth Estimation (Q)
|
73% |
487
3.99 IPS |
|
|
Style Transfer (SP)
|
100% |
324
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
325
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
893
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
88
3.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
89
3.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.0 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.4 IPS |
|
|
Text Classification (Q)
|
91% |
216
290.4 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.42 IPS |
|
|
Machine Translation (Q)
|
57% |
179
4.38 IPS |
