SHARP SH-M30
Geekbench AI Score
442
Single Precision Score
443
Half Precision Score
991
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | January 16 2026 02:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
99% |
681
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1845
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
87% |
705
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
97% |
1531
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1280
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2295
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1033
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.6 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.6 IPS |
|
|
Text Classification (Q)
|
91% |
677
910.2 IPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
453
11.1 IPS |
