HUAWEI MRT-AL10
Geekbench AI Score
817
Single Precision Score
1464
Half Precision Score
1478
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | March 13 2026 01:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (Q)
|
99% |
1347
251.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1551
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2198
2.56 IPS |
|
|
Pose Estimation (HP)
|
94% |
4493
5.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
3125
3.66 IPS |
|
|
Object Detection (SP)
|
98% |
455
36.2 IPS |
|
|
Object Detection (HP)
|
99% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
85% |
1272
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
3285
39.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1936
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2254
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
1610
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2011
2.61 IPS |
|
|
Style Transfer (HP)
|
88% |
3095
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3930
5.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
97% |
1276
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.2 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.7 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.3 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
55% |
557
15.0 IPS |
