HUAWEI MRT-AL10
Geekbench AI Score
224
Single Precision Score
262
Half Precision Score
228
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | March 13 2026 01:29 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
100% |
156
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
268
4.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
1409
1.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
1382
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.01 IPS |
|
|
Object Detection (HP)
|
99% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
85% |
128
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (Q)
|
97% |
505
6.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
521
4.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
734
5.67 IPS |
|
|
Depth Estimation (Q)
|
61% |
576
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1519
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2209
2.84 IPS |
|
|
Style Transfer (Q)
|
98% |
2204
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
466
17.3 IPS |
|
|
Text Classification (SP)
|
35% |
8
70.2 IPS |
|
|
Text Classification (HP)
|
29% |
4
72.9 IPS |
|
|
Text Classification (Q)
|
29% |
4
74.8 IPS |
|
|
Machine Translation (SP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (HP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (Q)
|
48% |
43
1.64 IPS |
