HONOR FRI-AN00
Geekbench AI Score
221
Single Precision Score
10990
Half Precision Score
28453
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 05:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM SM8475 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR FRI-AN00 |
| Model ID | HONOR FRI-AN00 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM8475 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
8127
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
22459
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
6523
105.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19009
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
38492
44.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
223514
262.1 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.79 IPS |
|
|
Object Detection (HP)
|
100% |
7670
608.4 IPS |
|
|
Object Detection (Q)
|
88% |
11628
931.5 IPS |
|
|
Face Detection (SP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (HP)
|
100% |
17481
207.7 IPS |
|
|
Face Detection (Q)
|
97% |
62643
746.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
289
2.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
27947
215.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
64538
594.2 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
98% |
40700
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
224039
288.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
142
5.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21226
783.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
69144
2.56 KIPS |
|
|
Text Classification (SP)
|
100% |
180
240.0 IPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
94% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
50% |
1193
41.3 IPS |
