SHARP SH-M27
Geekbench AI Score
509
Single Precision Score
507
Half Precision Score
927
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 09:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP SH-M27 |
| Model ID | SHARP SH-M27 |
| Motherboard | MT6833 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1605
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
628
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (Q)
|
95% |
1444
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
932
7.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
935
7.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1477
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1845
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1848
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3678
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
889
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (Q)
|
88% |
484
653.3 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.2 IPS |
