nubia NX789J
Geekbench AI Score
2031
Single Precision Score
2365
Half Precision Score
4053
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:56 AM |
| Views | 2 |
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% |
244
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
2275
423.1 IPS |
|
|
Image Classification (Q)
|
100% |
4807
893.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5778
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5768
6.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
14751
17.5 IPS |
|
|
Object Detection (SP)
|
98% |
1758
139.9 IPS |
|
|
Object Detection (HP)
|
98% |
1199
95.4 IPS |
|
|
Object Detection (Q)
|
83% |
2725
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
6429
76.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3231
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3260
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6975
63.9 IPS |
|
|
Style Transfer (SP)
|
89% |
13714
17.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12274
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28054
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3772
139.8 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.7 IPS |
|
|
Text Classification (HP)
|
99% |
568
757.7 IPS |
|
|
Text Classification (Q)
|
88% |
548
738.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
