ZTE Z2469N
Geekbench AI Score
474
Single Precision Score
466
Half Precision Score
951
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | December 30 2025 04:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
100% |
656
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
790
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1001
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1488
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
657
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (Q)
|
95% |
1651
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
870
6.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
1564
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1731
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1750
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3715
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
934
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
250
334.2 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.1 IPS |
|
|
Text Classification (Q)
|
88% |
437
588.8 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
