ZTE Z2352N
Geekbench AI Score
677
Single Precision Score
650
Half Precision Score
1489
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 02:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | ZTE Z2352N |
| Model ID | ZTE Z2352N |
| Motherboard | ums9620_2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.18 GHz |
| Cluster 1 | 4 Cores @ 2.18 GHz |
| Cluster 2 | 3 Cores @ 2.30 GHz |
| Cluster 3 | 1 Core @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
407
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
100% |
1200
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1399
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1378
1.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
2296
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
83% |
1020
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
2547
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1071
8.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
1022
7.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
2673
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2287
2.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1988
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
5221
6.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1666
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.7 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.7 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
