nubia Z2468N
Geekbench AI Score
501
Single Precision Score
502
Half Precision Score
1034
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 08:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
100% |
697
129.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1659
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
690
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
95% |
1706
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
747
5.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
781
6.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1619
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1867
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1871
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3920
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
993
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.2 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.6 IPS |
|
|
Text Classification (Q)
|
88% |
576
777.0 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
