SHARP SH-M30
Geekbench AI Score
1304
Single Precision Score
1922
Half Precision Score
1436
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | January 16 2026 01:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
884
164.3 IPS |
|
|
Image Classification (HP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (Q)
|
100% |
1143
212.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2000
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
12185
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11748
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
99% |
911
72.3 IPS |
|
|
Object Detection (Q)
|
87% |
858
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
4208
50.0 IPS |
|
|
Face Detection (Q)
|
97% |
3149
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3618
27.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5403
41.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
4069
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8392
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16215
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15702
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2135
79.1 IPS |
|
|
Text Classification (SP)
|
35% |
37
360.2 IPS |
|
|
Text Classification (HP)
|
35% |
46
421.9 IPS |
|
|
Text Classification (Q)
|
33% |
29
350.1 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (HP)
|
97% |
475
8.21 IPS |
|
|
Machine Translation (Q)
|
43% |
130
7.38 IPS |
