nubia NX789J
Geekbench AI Score
1391
Single Precision Score
1662
Half Precision Score
2546
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 08:33 PM |
| Views | 1 |
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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.3 IPS |
|
|
Image Classification (Q)
|
100% |
1649
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2554
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
7661
9.09 IPS |
|
|
Object Detection (SP)
|
98% |
994
79.1 IPS |
|
|
Object Detection (HP)
|
98% |
977
77.8 IPS |
|
|
Object Detection (Q)
|
83% |
1969
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
5311
63.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2684
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2687
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5227
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6651
8.63 IPS |
|
|
Style Transfer (HP)
|
89% |
6719
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
12860
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3163
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
423
565.2 IPS |
|
|
Text Classification (HP)
|
99% |
492
656.5 IPS |
|
|
Text Classification (Q)
|
88% |
446
601.1 IPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
359
12.8 IPS |
