HONOR CMA-LX1
Geekbench AI Score
29
Single Precision Score
90
Half Precision Score
88
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 11:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR CMA-LX1 |
| Model ID | HONOR CMA-LX1 |
| Motherboard | bengal |
| 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 | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.90 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.0 IPS |
|
|
Image Classification (Q)
|
97% |
66
12.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
29
0.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
91
1.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
111
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
110
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.54 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.28 IPS |
|
|
Object Detection (Q)
|
89% |
53
4.26 IPS |
|
|
Face Detection (SP)
|
100% |
79
0.94 IPS |
|
|
Face Detection (HP)
|
100% |
195
2.32 IPS |
|
|
Face Detection (Q)
|
97% |
201
2.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
75
0.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
154
1.19 IPS |
|
|
Depth Estimation (Q)
|
62% |
126
1.19 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
292
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
291
0.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37
1.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
78
2.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
78
2.88 IPS |
|
|
Text Classification (SP)
|
100% |
28
37.7 IPS |
|
|
Text Classification (HP)
|
100% |
29
38.3 IPS |
|
|
Text Classification (Q)
|
91% |
41
55.8 IPS |
|
|
Machine Translation (SP)
|
100% |
52
0.90 IPS |
|
|
Machine Translation (HP)
|
100% |
52
0.89 IPS |
|
|
Machine Translation (Q)
|
57% |
38
0.93 IPS |
