HONOR FRI-AN00
Geekbench AI Score
218
Single Precision Score
215
Half Precision Score
502
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 05:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
839
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (Q)
|
87% |
354
28.4 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.96 IPS |
|
|
Face Detection (Q)
|
97% |
732
8.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
690
6.26 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1294
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
469
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.0 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.2 IPS |
|
|
Text Classification (Q)
|
91% |
303
407.4 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.39 IPS |
