zolon L161X
Geekbench AI Score
327
Single Precision Score
338
Half Precision Score
364
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2025 09:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | zolon L161X |
| Model ID | zolon L161X |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3336 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
100% |
273
50.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
580
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
95% |
627
7.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
412
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
604
5.53 IPS |
|
|
Style Transfer (SP)
|
89% |
1194
1.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1298
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
978
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
238
8.82 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.0 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.3 IPS |
|
|
Text Classification (Q)
|
88% |
224
301.7 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (Q)
|
50% |
142
5.04 IPS |
