HUAWEI ELS-AN00
Geekbench AI Score
993
Single Precision Score
1010
Half Precision Score
1956
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 04:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ELS-AN00 |
| Model ID | HUAWEI ELS-AN00 |
| Motherboard | ELS |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1393
259.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1579
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2010
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3285
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
1406
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
95% |
3148
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1704
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3301
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3315
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3397
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
7722
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
569
759.9 IPS |
|
|
Text Classification (HP)
|
100% |
594
792.5 IPS |
|
|
Text Classification (Q)
|
88% |
990
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
521
18.5 IPS |
