nubia NX799J
Geekbench AI Score
401
Single Precision Score
27599
Half Precision Score
69047
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | simplemal |
| Upload Date | March 01 2026 02:10 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
21940
4.08 KIPS |
|
|
Image Classification (Q)
|
96% |
50949
9.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
14769
239.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
55672
905.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
122482
142.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
473276
553.9 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
17101
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
32951
2.65 KIPS |
|
|
Face Detection (SP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
43570
517.7 IPS |
|
|
Face Detection (Q)
|
97% |
161902
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
79614
613.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
162461
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
92229
118.6 IPS |
|
|
Style Transfer (Q)
|
98% |
480975
620.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52105
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125585
4.65 KIPS |
|
|
Text Classification (SP)
|
100% |
164
219.4 IPS |
|
|
Text Classification (HP)
|
100% |
4374
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
11420
15.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3069
79.1 IPS |
