nubia NX711J
Geekbench AI Score
677
Single Precision Score
886
Half Precision Score
845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 03:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia NX711J |
| Model ID | nubia NX711J |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
114.1 IPS |
|
|
Image Classification (HP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (Q)
|
96% |
751
140.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1415
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1404
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
87% |
678
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
2163
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1122
8.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1704
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2849
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6602
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6461
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
207
7.66 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.5 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.0 IPS |
|
|
Text Classification (Q)
|
91% |
246
331.2 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
57% |
214
5.23 IPS |
