nubia NX799J
Geekbench AI Score
2396
Single Precision Score
3670
Half Precision Score
2717
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | simplemal |
| Upload Date | March 01 2026 01:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.3 IPS |
|
|
Image Classification (Q)
|
100% |
1535
285.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3433
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6061
98.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3050
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10600
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
20289
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
18305
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (HP)
|
99% |
2063
163.7 IPS |
|
|
Object Detection (Q)
|
85% |
1411
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
5853
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (Q)
|
97% |
5307
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5462
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7596
58.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
6387
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13809
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28800
37.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28402
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5418
200.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5345
198.1 IPS |
|
|
Text Classification (SP)
|
35% |
89
870.0 IPS |
|
|
Text Classification (HP)
|
35% |
91
825.2 IPS |
|
|
Text Classification (Q)
|
33% |
71
799.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (Q)
|
48% |
498
19.1 IPS |
