SHARP SH-M33
Geekbench AI Score
233
Single Precision Score
234
Half Precision Score
11255
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 02:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
97% |
10926
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
7093
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
32017
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
4738
381.0 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
26416
315.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
22258
208.4 IPS |
|
|
Style Transfer (SP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
528
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
72384
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18412
682.3 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.1 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (Q)
|
93% |
4637
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
55% |
764
20.0 IPS |
