Nothing Phone (1)
Geekbench AI Score
314
Single Precision Score
399
Half Precision Score
401
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Kekko01 |
| Upload Date | August 17 2024 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (Q)
|
97% |
262
48.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
422
6.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
241
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
171
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
725
8.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
729
5.62 IPS |
|
|
Depth Estimation (Q)
|
75% |
705
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
971
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1571
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1551
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
344
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.2 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.0 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.23 IPS |
