nubia Z2462N
Geekbench AI Score
502
Single Precision Score
883
Half Precision Score
1074
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 09:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia Z2462N |
| Model ID | nubia Z2462N |
| Motherboard | ums9620_2h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
99% |
1173
218.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1326
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
921
1.07 IPS |
|
|
Pose Estimation (HP)
|
92% |
2646
3.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
2195
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
97% |
423
33.7 IPS |
|
|
Object Detection (Q)
|
85% |
652
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
1329
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1522
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
1306
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1927
2.50 IPS |
|
|
Style Transfer (HP)
|
88% |
2272
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2691
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
869
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
972
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.3 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.7 IPS |
|
|
Text Classification (Q)
|
93% |
582
781.4 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (HP)
|
96% |
491
8.50 IPS |
|
|
Machine Translation (Q)
|
55% |
349
9.38 IPS |
