HUAWEI LEM-AL00
Geekbench AI Score
400
Single Precision Score
406
Half Precision Score
883
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 05:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI LEM-AL00 |
| Model ID | HUAWEI LEM-AL00 |
| Motherboard | LEM |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores @ 1.53 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.62 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
99% |
610
113.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
603
9.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
1664
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
689
55.2 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (Q)
|
97% |
1255
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1197
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
873
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
881
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
2200
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.0 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.6 IPS |
|
|
Text Classification (Q)
|
91% |
525
705.6 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.88 IPS |
