nubia NX799J
Geekbench AI Score
525
Single Precision Score
539
Half Precision Score
944
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | simplemal |
| Upload Date | March 01 2026 01:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | nubia NX799J |
| Model ID | nubia NX799J |
| 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% |
440
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1132
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
749
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
871
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.48 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (Q)
|
87% |
360
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2657
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
931
7.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
628
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1474
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
694
925.8 IPS |
|
|
Text Classification (HP)
|
100% |
702
937.3 IPS |
|
|
Text Classification (Q)
|
91% |
1094
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.51 IPS |
