nubia NX679J
Geekbench AI Score
235
Single Precision Score
10887
Half Precision Score
27248
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 09:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | nubia NX679J |
| Model ID | nubia NX679J |
| Motherboard | taro |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
21911
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
6464
104.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18654
303.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
35611
41.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
222390
260.7 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
7656
607.3 IPS |
|
|
Object Detection (Q)
|
88% |
11512
922.2 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (HP)
|
100% |
17560
208.7 IPS |
|
|
Face Detection (Q)
|
97% |
63632
758.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
27826
215.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
60625
558.1 IPS |
|
|
Style Transfer (SP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
39406
50.8 IPS |
|
|
Style Transfer (Q)
|
98% |
210862
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21238
784.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52417
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
201
267.8 IPS |
|
|
Text Classification (HP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (Q)
|
94% |
4228
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
336
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1196
41.4 IPS |
