HUAWEI PCE-W29
Geekbench AI Score
1129
Single Precision Score
1136
Half Precision Score
1889
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 01:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI PCE-W29 |
| Model ID | HUAWEI PCE-W29 |
| Motherboard | PCEL |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores @ 1.53 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.49 GHz |
| Memory Information | |
|---|---|
| Size | 11.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
100% |
1345
250.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1576
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2451
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
3210
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
83% |
1330
107.5 IPS |
|
|
Face Detection (SP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
3284
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2199
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3117
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4122
5.35 IPS |
|
|
Style Transfer (HP)
|
89% |
4211
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7437
9.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1782
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
569
759.0 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.4 IPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
