HONOR FRI-AN00
Geekbench AI Score
1370
Single Precision Score
2422
Half Precision Score
2076
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 28 2025 11:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1024
190.5 IPS |
|
|
Image Classification (HP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (Q)
|
99% |
1335
248.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2605
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6672
7.79 IPS |
|
|
Pose Estimation (HP)
|
99% |
12531
14.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
12143
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
776
61.6 IPS |
|
|
Object Detection (HP)
|
99% |
1394
110.5 IPS |
|
|
Object Detection (Q)
|
85% |
1174
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
5253
62.4 IPS |
|
|
Face Detection (Q)
|
97% |
4342
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3350
25.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5892
45.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
4914
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7421
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
14663
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14333
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3231
119.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2948
109.2 IPS |
|
|
Text Classification (SP)
|
35% |
47
462.5 IPS |
|
|
Text Classification (HP)
|
35% |
68
618.2 IPS |
|
|
Text Classification (Q)
|
35% |
63
577.3 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
97% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
64% |
529
10.9 IPS |
