ZTE nubia RedMagic 10 Pro nubia NX789J
Geekbench AI Score
1075
Single Precision Score
1617
Half Precision Score
1675
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 12 2025 11:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX789J |
| Model ID | nubia NX789J |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
99% |
871
162.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1404
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1288
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
2018
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
86% |
986
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2285
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
3347
25.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2835
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4645
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
10098
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10034
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1492
55.3 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.1 IPS |
|
|
Text Classification (HP)
|
100% |
625
834.8 IPS |
|
|
Text Classification (Q)
|
91% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
771
18.8 IPS |
