nubia Z2468N
Geekbench AI Score
354
Single Precision Score
624
Half Precision Score
532
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 08:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
208
38.7 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
97% |
358
66.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
532
8.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
2205
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
99% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
355
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
1298
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
836
6.44 IPS |
|
|
Depth Estimation (HP)
|
98% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1235
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1869
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4083
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
4036
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.7 IPS |
|
|
Text Classification (SP)
|
35% |
14
128.3 IPS |
|
|
Text Classification (HP)
|
29% |
13
219.9 IPS |
|
|
Text Classification (Q)
|
33% |
19
217.7 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.58 IPS |
