ZTE Z2353
Geekbench AI Score
51
Single Precision Score
51
Half Precision Score
123
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ZTE Z2353 |
| Model ID | ZTE Z2353 |
| Motherboard | s9863a1h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 3.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
29
5.47 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.54 IPS |
|
|
Image Classification (Q)
|
99% |
83
15.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
77
1.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
238
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
30
2.35 IPS |
|
|
Object Detection (HP)
|
100% |
28
2.21 IPS |
|
|
Object Detection (Q)
|
87% |
86
6.90 IPS |
|
|
Face Detection (SP)
|
100% |
71
0.84 IPS |
|
|
Face Detection (HP)
|
100% |
72
0.85 IPS |
|
|
Face Detection (Q)
|
97% |
179
2.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
67
0.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
157
1.43 IPS |
|
|
Style Transfer (SP)
|
100% |
122
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
123
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
346
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36
1.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
126
4.68 IPS |
|
|
Text Classification (SP)
|
100% |
43
57.7 IPS |
|
|
Text Classification (HP)
|
100% |
44
58.4 IPS |
|
|
Text Classification (Q)
|
91% |
79
106.3 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.37 IPS |
|
|
Machine Translation (HP)
|
100% |
80
1.37 IPS |
|
|
Machine Translation (Q)
|
57% |
63
1.55 IPS |
