FYD IM-H842
Geekbench AI Score
488
Single Precision Score
504
Half Precision Score
937
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | FYD IM-H842 |
| Model ID | FYD IM-H842 |
| Motherboard | IM-H842 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
717
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1606
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
626
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.68 IPS |
|
|
Face Detection (Q)
|
95% |
1470
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1470
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1843
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1837
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3683
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.3 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.0 IPS |
|
|
Text Classification (Q)
|
88% |
477
643.7 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
