nubia NX789J
Geekbench AI Score
749
Single Precision Score
28377
Half Precision Score
64117
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 12:28 PM |
| Views | 42 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
21548
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50516
9.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
14675
237.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
43759
711.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
124315
145.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
480366
562.2 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
20283
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23955
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
45847
544.8 IPS |
|
|
Face Detection (Q)
|
97% |
164445
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
955
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
85433
658.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
149926
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1626
2.09 IPS |
|
|
Style Transfer (HP)
|
98% |
99233
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
496510
640.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55160
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135308
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
652
870.1 IPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8221
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5002
86.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3390
87.3 IPS |
