nubia NX679J
Geekbench AI Score
727
Single Precision Score
1108
Half Precision Score
1142
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 06:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
529
98.3 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.3 IPS |
|
|
Image Classification (Q)
|
97% |
851
158.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1261
1.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
1272
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
89% |
653
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2427
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1106
8.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
2521
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2036
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2762
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
6120
7.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6203
8.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.0 IPS |
|
|
Text Classification (Q)
|
91% |
524
704.4 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
57% |
432
10.6 IPS |
