nubia Z2468N
Geekbench AI Score
357
Single Precision Score
368
Half Precision Score
463
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia Z2468N |
| Model ID | nubia Z2468N |
| Motherboard | ums9632_1h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.04 GHz |
| Cluster 1 | 6 Cores @ 2.04 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
97% |
304
56.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
438
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1258
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1215
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
99% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
86% |
316
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
675
8.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
841
6.48 IPS |
|
|
Depth Estimation (HP)
|
98% |
898
6.94 IPS |
|
|
Depth Estimation (Q)
|
65% |
1027
9.17 IPS |
|
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
288
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1303
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
615
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
83
110.3 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.0 IPS |
|
|
Text Classification (Q)
|
93% |
110
147.5 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (Q)
|
55% |
145
3.86 IPS |
