nubia NX679J
Geekbench AI Score
1721
Single Precision Score
1705
Half Precision Score
2605
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 09:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (Q)
|
100% |
2051
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2276
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
4997
5.93 IPS |
|
|
Object Detection (SP)
|
98% |
1299
103.3 IPS |
|
|
Object Detection (HP)
|
98% |
1278
101.7 IPS |
|
|
Object Detection (Q)
|
83% |
1886
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (Q)
|
95% |
4089
48.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2682
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2650
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4109
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5404
7.02 IPS |
|
|
Style Transfer (HP)
|
89% |
5354
6.95 IPS |
|
|
Style Transfer (Q)
|
98% |
10527
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2713
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.2 IPS |
|
|
Text Classification (HP)
|
99% |
616
822.7 IPS |
|
|
Text Classification (Q)
|
88% |
1120
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
610
21.6 IPS |
