HUAWEI LEM-AL00
Geekbench AI Score
441
Single Precision Score
277
Half Precision Score
242
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 05:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
327
60.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
73% |
514
8.89 IPS |
|
|
Image Segmentation (Q)
|
73% |
514
8.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1762
2.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
2654
3.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
2638
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
99% |
267
21.1 IPS |
|
|
Object Detection (Q)
|
85% |
274
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
0% |
0
16.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1053
8.11 IPS |
|
|
Depth Estimation (HP)
|
98% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
1170
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2662
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3936
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3890
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1012
37.5 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.0 IPS |
|
|
Text Classification (HP)
|
35% |
14
127.6 IPS |
|
|
Text Classification (Q)
|
33% |
13
146.1 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
48% |
98
3.75 IPS |
