nubia NX789J
Geekbench AI Score
509
Single Precision Score
975
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 02:18 PM |
| Views | 2 |
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 @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
791
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1359
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1189
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
634
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2622
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
2411
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
743
5.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
2029
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1680
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5926
7.62 IPS |
|
|
Style Transfer (Q)
|
98% |
5908
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
942
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
108
143.7 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.1 IPS |
|
|
Text Classification (Q)
|
91% |
159
214.0 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (Q)
|
57% |
192
4.69 IPS |
