HONOR REA-AN00
Geekbench AI Score
767
Single Precision Score
787
Half Precision Score
1797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | February 13 2026 07:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
100% |
1732
322.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1516
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1615
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1816
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3373
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
83% |
1455
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3434
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1346
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2319
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2674
3.47 IPS |
|
|
Style Transfer (HP)
|
89% |
2936
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
7224
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2302
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.8 IPS |
|
|
Text Classification (HP)
|
100% |
417
556.3 IPS |
|
|
Text Classification (Q)
|
88% |
455
613.7 IPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
