ZTE nubia RedMagic 10 Pro nubia NX789J
Geekbench AI Score
694
Single Precision Score
696
Half Precision Score
1593
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 12 2025 11:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
99% |
1062
198.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1044
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
2848
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
87% |
1196
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
2378
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
891
6.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
2163
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1544
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1542
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4240
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1724
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
625
833.8 IPS |
|
|
Text Classification (HP)
|
100% |
625
834.5 IPS |
|
|
Text Classification (Q)
|
91% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
57% |
772
18.9 IPS |
