ZOLON L16XX
Geekbench AI Score
165
Single Precision Score
165
Half Precision Score
340
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 12:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Rockchip |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | ZOLON L16XX |
| Model ID | ZOLON L16XX |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Rockchip |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 1.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (Q)
|
100% |
233
43.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
283
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
706
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.22 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.18 IPS |
|
|
Object Detection (Q)
|
83% |
237
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
|
Face Detection (HP)
|
100% |
218
2.58 IPS |
|
|
Face Detection (Q)
|
95% |
538
6.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
264
2.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
586
5.37 IPS |
|
|
Style Transfer (SP)
|
89% |
706
0.92 IPS |
|
|
Style Transfer (HP)
|
89% |
689
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1336
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
74
99.3 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.6 IPS |
|
|
Text Classification (Q)
|
88% |
146
197.2 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.71 IPS |
|
|
Machine Translation (Q)
|
50% |
81
2.87 IPS |
