RedMagic 10 Air nubia NX779J
Geekbench AI Score
746
Single Precision Score
1161
Half Precision Score
1146
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | anewold |
| Upload Date | May 29 2025 10:56 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX779J |
| Model ID | nubia NX779J |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
96% |
721
134.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1512
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
1612
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
87% |
731
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (Q)
|
97% |
2821
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1276
9.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
2415
18.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2047
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4196
5.39 IPS |
|
|
Style Transfer (HP)
|
100% |
7028
9.04 IPS |
|
|
Style Transfer (Q)
|
98% |
6964
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
974
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.6 IPS |
|
|
Text Classification (HP)
|
100% |
183
243.8 IPS |
|
|
Text Classification (Q)
|
91% |
294
395.5 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.51 IPS |
