SHARP SH-M33
Geekbench AI Score
232
Single Precision Score
232
Half Precision Score
536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 02:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | SHARP SH-M33 |
| Model ID | SHARP SH-M33 |
| Motherboard | Lyle |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
345
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
394
6.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
932
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
368
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
814
9.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
720
6.53 IPS |
|
|
Style Transfer (SP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
528
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1574
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
536
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
193
256.9 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.8 IPS |
|
|
Text Classification (Q)
|
91% |
340
456.5 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.18 IPS |
