HONOR REA-AN00
Geekbench AI Score
224
Single Precision Score
4668
Half Precision Score
12870
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | February 13 2026 07:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
131
24.4 IPS |
|
|
Image Classification (HP)
|
100% |
3561
662.2 IPS |
|
|
Image Classification (Q)
|
99% |
11136
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
3054
49.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7516
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
13222
15.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
47643
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
2566
203.5 IPS |
|
|
Object Detection (Q)
|
88% |
5877
470.8 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
7200
85.5 IPS |
|
|
Face Detection (Q)
|
97% |
28684
342.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
293
2.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
10114
78.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27191
250.3 IPS |
|
|
Style Transfer (SP)
|
100% |
507
0.65 IPS |
|
|
Style Transfer (HP)
|
98% |
16914
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
105730
136.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7713
284.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24824
919.8 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.1 IPS |
|
|
Text Classification (HP)
|
100% |
1175
1.57 KIPS |
|
|
Text Classification (Q)
|
94% |
4088
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
636
22.0 IPS |
