SHARP SH-54E
Geekbench AI Score
449
Single Precision Score
449
Half Precision Score
1011
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 03:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP SH-54E |
| Model ID | SHARP SH-54E |
| Motherboard | Mikazuki |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
99% |
692
129.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1863
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
725
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.60 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (Q)
|
97% |
1544
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
570
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
570
4.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1294
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
934
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
927
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
2299
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1050
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.1 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.2 IPS |
|
|
Text Classification (Q)
|
91% |
675
906.7 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
494
12.1 IPS |
