HUAWEI MRDI-W09
Geekbench AI Score
385
Single Precision Score
385
Half Precision Score
799
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 11:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI MRDI-W09 |
| Model ID | HUAWEI MRDI-W09 |
| Motherboard | MRDI |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 3 Cores @ 2.00 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
99% |
548
102.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
563
9.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1323
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
87% |
590
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
566
6.72 IPS |
|
|
Face Detection (HP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (Q)
|
97% |
1210
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
482
3.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1072
9.72 IPS |
|
|
Style Transfer (SP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
850
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
1974
2.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
820
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
358
477.4 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.4 IPS |
|
|
Text Classification (Q)
|
91% |
514
691.4 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (Q)
|
57% |
409
10.00 IPS |
