HUAWEI JLN-LX1
Geekbench AI Score
49
Single Precision Score
91
Half Precision Score
89
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 18 2025 12:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI JLN-LX1 |
| Model ID | HUAWEI JLN-LX1 |
| Motherboard | JLNQ |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.94 IPS |
|
|
Image Classification (HP)
|
100% |
64
11.9 IPS |
|
|
Image Classification (Q)
|
97% |
64
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
30
0.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
57
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
114
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
113
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.54 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.24 IPS |
|
|
Object Detection (Q)
|
89% |
53
4.27 IPS |
|
|
Face Detection (SP)
|
100% |
80
0.95 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
97% |
203
2.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
76
0.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
158
1.22 IPS |
|
|
Depth Estimation (Q)
|
62% |
128
1.22 IPS |
|
|
Style Transfer (SP)
|
100% |
152
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
302
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
299
0.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38
1.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
79
2.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
78
2.89 IPS |
|
|
Text Classification (SP)
|
100% |
28
37.7 IPS |
|
|
Text Classification (HP)
|
100% |
29
38.2 IPS |
|
|
Text Classification (Q)
|
91% |
41
55.4 IPS |
|
|
Machine Translation (SP)
|
100% |
53
0.92 IPS |
|
|
Machine Translation (HP)
|
100% |
52
0.89 IPS |
|
|
Machine Translation (Q)
|
57% |
41
1.01 IPS |
