ZTE nubia RedMagic 10 Pro nubia NX789J
Geekbench AI Score
2376
Single Precision Score
2999
Half Precision Score
5350
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 12 2025 11:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (Q)
|
100% |
4619
858.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2631
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5557
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5575
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5548
6.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
13997
16.6 IPS |
|
|
Object Detection (SP)
|
98% |
1826
145.3 IPS |
|
|
Object Detection (HP)
|
98% |
1830
145.6 IPS |
|
|
Object Detection (Q)
|
83% |
4152
335.4 IPS |
|
|
Face Detection (SP)
|
100% |
4495
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (Q)
|
95% |
9961
118.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4831
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4799
37.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10710
98.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11905
15.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11911
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26217
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2468
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6973
258.4 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1095
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.5 IPS |
