nubia NX725J
Geekbench AI Score
226
Single Precision Score
213
Half Precision Score
484
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
99% |
273
50.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
917
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.50 IPS |
|
|
Object Detection (Q)
|
87% |
301
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (Q)
|
97% |
623
7.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
738
6.70 IPS |
|
|
Style Transfer (SP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
573
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1590
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
526
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.5 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.7 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.24 IPS |
