nubia NX709J
Geekbench AI Score
1560
Single Precision Score
1550
Half Precision Score
2362
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | nubia NX709J |
| Model ID | nubia NX709J |
| 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 | 14.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (Q)
|
100% |
1827
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2072
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2097
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
4571
5.42 IPS |
|
|
Object Detection (SP)
|
98% |
1041
82.8 IPS |
|
|
Object Detection (HP)
|
98% |
1066
84.8 IPS |
|
|
Object Detection (Q)
|
83% |
1539
124.3 IPS |
|
|
Face Detection (SP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3636
43.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2443
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2416
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3807
34.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4985
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4945
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
9845
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2554
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
561
748.4 IPS |
|
|
Text Classification (HP)
|
99% |
549
732.2 IPS |
|
|
Text Classification (Q)
|
88% |
1065
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
