nubia NX799J
Geekbench AI Score
1914
Single Precision Score
3146
Half Precision Score
3917
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | simplemal |
| Upload Date | March 01 2026 01:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
279
51.8 IPS |
|
|
Image Classification (HP)
|
100% |
2760
513.2 IPS |
|
|
Image Classification (Q)
|
99% |
4794
894.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5799
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5858
6.84 IPS |
|
|
Pose Estimation (HP)
|
92% |
8474
9.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
10139
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1169
93.1 IPS |
|
|
Object Detection (HP)
|
97% |
1614
128.5 IPS |
|
|
Object Detection (Q)
|
85% |
2568
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (Q)
|
97% |
7163
85.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3483
26.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5849
45.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7298
67.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9010
11.7 IPS |
|
|
Style Transfer (HP)
|
88% |
10899
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17567
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3152
117.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4061
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.8 IPS |
|
|
Text Classification (HP)
|
100% |
644
859.9 IPS |
|
|
Text Classification (Q)
|
93% |
528
709.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
55% |
597
16.0 IPS |
