HUAWEI MRX-W29
Geekbench AI Score
469
Single Precision Score
471
Half Precision Score
828
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 08:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI MRX-W29 |
| Model ID | HUAWEI MRX-W29 |
| Motherboard | MRX-W29 |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 3 part 3392 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.36 GHz |
| Cluster 3 | 2 Cores @ 2.86 GHz |
| Memory Information | |
|---|---|
| Size | 5.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (Q)
|
100% |
1269
236.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1384
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1268
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
478
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
95% |
905
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1063
9.74 IPS |
|
|
Style Transfer (SP)
|
89% |
1148
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1133
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2552
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
661
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.5 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.3 IPS |
|
|
Text Classification (Q)
|
88% |
396
534.5 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.23 IPS |
|
|
Machine Translation (Q)
|
50% |
222
7.89 IPS |
