nubia NX711J
Geekbench AI Score
778
Single Precision Score
827
Half Precision Score
1425
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 02:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.5 IPS |
|
|
Image Classification (Q)
|
100% |
972
180.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1172
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3206
3.80 IPS |
|
|
Object Detection (SP)
|
98% |
376
29.9 IPS |
|
|
Object Detection (HP)
|
98% |
710
56.5 IPS |
|
|
Object Detection (Q)
|
83% |
1001
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
2115
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1086
8.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
2327
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2573
3.34 IPS |
|
|
Style Transfer (HP)
|
89% |
2571
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6354
8.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1533
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
338
451.4 IPS |
|
|
Text Classification (HP)
|
99% |
314
418.6 IPS |
|
|
Text Classification (Q)
|
88% |
534
720.8 IPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
371
13.2 IPS |
