ZTE Z2469N
Geekbench AI Score
320
Single Precision Score
337
Half Precision Score
404
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | December 30 2025 06:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | ZTE Z2469N |
| Model ID | ZTE Z2469N |
| 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 | 3.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
97% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
417
6.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
1271
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1216
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
99% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
86% |
281
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
639
7.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
811
6.27 IPS |
|
|
Depth Estimation (Q)
|
65% |
984
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
663
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
271
0.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1249
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
329
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
37
49.3 IPS |
|
|
Text Classification (HP)
|
100% |
88
117.4 IPS |
|
|
Text Classification (Q)
|
93% |
55
74.2 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.06 IPS |
|
|
Machine Translation (HP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (Q)
|
55% |
121
3.22 IPS |
