ZTE Z2459
Geekbench AI Score
228
Single Precision Score
424
Half Precision Score
326
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 02:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ZTE Z2459 |
| Model ID | ZTE Z2459 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 1.95 GHz |
| Memory Information | |
|---|---|
| Size | 5.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.7 IPS |
|
|
Image Classification (Q)
|
99% |
210
39.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (HP)
|
92% |
995
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
407
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
101
7.97 IPS |
|
|
Object Detection (HP)
|
97% |
203
16.2 IPS |
|
|
Object Detection (Q)
|
85% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (Q)
|
97% |
591
7.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
832
6.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
456
4.21 IPS |
|
|
Style Transfer (SP)
|
89% |
872
1.13 IPS |
|
|
Style Transfer (HP)
|
88% |
1245
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1038
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.81 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
445
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.45 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.6 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.8 IPS |
|
|
Text Classification (Q)
|
93% |
198
265.5 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (HP)
|
96% |
326
5.63 IPS |
|
|
Machine Translation (Q)
|
55% |
207
5.57 IPS |
