SHARP A401SH
Geekbench AI Score
1067
Single Precision Score
1087
Half Precision Score
1831
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | SHARP A401SH |
| Model ID | SHARP A401SH |
| Motherboard | Orga |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (Q)
|
100% |
990
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2348
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
3127
3.71 IPS |
|
|
Object Detection (SP)
|
98% |
612
48.7 IPS |
|
|
Object Detection (HP)
|
98% |
611
48.6 IPS |
|
|
Object Detection (Q)
|
83% |
1685
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
1258
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
2233
26.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1460
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1600
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2814
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3450
4.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3475
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9661
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1577
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
379
506.0 IPS |
|
|
Text Classification (HP)
|
99% |
378
504.2 IPS |
|
|
Text Classification (Q)
|
88% |
678
914.8 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
