RedMagic 10 Air nubia NX779J
Geekbench AI Score
243
Single Precision Score
19981
Half Precision Score
49123
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | anewold |
| Upload Date | May 29 2025 11:20 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
15085
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
41711
7.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
10289
166.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29579
481.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
75927
88.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
394677
461.9 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
13916
1.10 KIPS |
|
|
Object Detection (Q)
|
86% |
18747
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
29931
355.6 IPS |
|
|
Face Detection (Q)
|
97% |
103303
1.23 KIPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
57814
445.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
113223
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (HP)
|
98% |
81928
105.6 IPS |
|
|
Style Transfer (Q)
|
98% |
421640
543.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39355
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104036
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
190
253.6 IPS |
|
|
Text Classification (HP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6944
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2516
65.9 IPS |
