HUAWEI MRX-W29
Geekbench AI Score
194
Single Precision Score
195
Half Precision Score
448
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 17 2024 06:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 11.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.3 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.12 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.09 IPS |
|
|
Object Detection (Q)
|
89% |
324
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.57 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
97% |
612
7.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
100% |
242
1.86 IPS |
|
|
Depth Estimation (Q)
|
73% |
657
5.37 IPS |
|
|
Style Transfer (SP)
|
100% |
390
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
387
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1239
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (HP)
|
100% |
172
230.1 IPS |
|
|
Text Classification (Q)
|
91% |
285
382.5 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.64 IPS |
