HONOR REA-AN00
Geekbench AI Score
573
Single Precision Score
865
Half Precision Score
797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | February 13 2026 07:26 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM SM7450 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR REA-AN00 |
| Model ID | HONOR REA-AN00 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM7450 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
99% |
530
98.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2697
3.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
4832
5.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
4719
5.53 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
99% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
85% |
439
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1596
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1432
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2280
17.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
1898
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3305
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
6730
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
6586
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
946
35.0 IPS |
|
|
Text Classification (SP)
|
35% |
17
165.8 IPS |
|
|
Text Classification (HP)
|
35% |
24
218.0 IPS |
|
|
Text Classification (Q)
|
35% |
23
210.0 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (HP)
|
97% |
233
4.03 IPS |
|
|
Machine Translation (Q)
|
64% |
177
3.63 IPS |
