nubia NX725J
Geekbench AI Score
932
Single Precision Score
895
Half Precision Score
1567
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 07:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia NX725J |
| Model ID | nubia NX725J |
| 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% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.1 IPS |
|
|
Image Classification (Q)
|
100% |
1281
238.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1312
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3671
4.35 IPS |
|
|
Object Detection (SP)
|
98% |
651
51.8 IPS |
|
|
Object Detection (HP)
|
98% |
706
56.2 IPS |
|
|
Object Detection (Q)
|
83% |
983
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2155
25.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1444
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1482
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2334
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2607
3.38 IPS |
|
|
Style Transfer (HP)
|
89% |
2538
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6651
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1861
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.6 IPS |
|
|
Text Classification (HP)
|
99% |
309
413.0 IPS |
|
|
Text Classification (Q)
|
88% |
642
865.6 IPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
406
14.4 IPS |
