SHARP SH-M30
Geekbench AI Score
444
Single Precision Score
443
Half Precision Score
29159
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | January 16 2026 02:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
96% |
21760
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
22194
360.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
134602
157.5 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
86% |
13762
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.60 IPS |
|
|
Face Detection (Q)
|
97% |
59896
714.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
563
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
566
4.36 IPS |
|
|
Depth Estimation (Q)
|
63% |
74202
698.9 IPS |
|
|
Style Transfer (SP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
931
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
192469
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38024
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
410
547.9 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.5 IPS |
|
|
Text Classification (Q)
|
93% |
7748
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1971
51.7 IPS |
