SHARP SH-M30
Geekbench AI Score
1198
Single Precision Score
1420
Half Precision Score
2018
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | January 16 2026 01:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP SH-M30 |
| Model ID | SHARP SH-M30 |
| 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% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (Q)
|
100% |
2216
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3251
3.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
7081
8.40 IPS |
|
|
Object Detection (SP)
|
98% |
688
54.8 IPS |
|
|
Object Detection (HP)
|
98% |
694
55.3 IPS |
|
|
Object Detection (Q)
|
83% |
1426
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (Q)
|
95% |
2959
35.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3096
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2951
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3717
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
7929
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
6847
8.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1711
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.0 IPS |
|
|
Text Classification (HP)
|
99% |
397
529.6 IPS |
|
|
Text Classification (Q)
|
88% |
675
910.6 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
616
21.9 IPS |
