HUAWEI MRT-AL10
Geekbench AI Score
223
Single Precision Score
214
Half Precision Score
495
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | March 13 2026 01:48 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | HUAWEI |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI MRT-AL10 |
| Model ID | HUAWEI MRT-AL10 |
| Motherboard | MRT |
| CPU Information | |
|---|---|
| Name | HUAWEI |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.31 GHz |
| Cluster 1 | 4 Cores @ 1.31 GHz |
| Cluster 2 | 3 Cores @ 2.05 GHz |
| Cluster 3 | 1 Core @ 2.29 GHz |
| Memory Information | |
|---|---|
| Size | 11.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
99% |
483
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
336
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
786
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.40 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.42 IPS |
|
|
Object Detection (Q)
|
87% |
338
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (HP)
|
100% |
331
3.94 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
267
2.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
647
5.87 IPS |
|
|
Style Transfer (SP)
|
100% |
468
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
468
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1305
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
466
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.0 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.7 IPS |
|
|
Text Classification (Q)
|
91% |
302
406.4 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
57% |
240
5.88 IPS |
