SHARP SH-M33
Geekbench AI Score
952
Single Precision Score
752
Half Precision Score
1496
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 06:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
912
169.5 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
100% |
872
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1240
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
2260
2.68 IPS |
|
|
Object Detection (SP)
|
98% |
411
32.7 IPS |
|
|
Object Detection (HP)
|
98% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
889
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
95% |
1732
20.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
2666
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4736
6.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2332
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
12444
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2570
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
539
720.0 IPS |
|
|
Text Classification (HP)
|
99% |
532
709.8 IPS |
|
|
Text Classification (Q)
|
88% |
518
698.7 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
