nubia Z2468N
Geekbench AI Score
510
Single Precision Score
512
Half Precision Score
1030
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 01:08 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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
688
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
826
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1643
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
688
55.6 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (Q)
|
95% |
1702
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
767
5.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
823
6.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1617
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1907
2.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1904
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3867
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
989
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (HP)
|
100% |
288
383.9 IPS |
|
|
Text Classification (Q)
|
88% |
570
769.1 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
