SHARP SH-M33
Geekbench AI Score
968
Single Precision Score
834
Half Precision Score
1417
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 06:30 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% |
936
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.2 IPS |
|
|
Image Classification (Q)
|
100% |
787
146.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
5580
6.62 IPS |
|
|
Object Detection (SP)
|
98% |
855
68.1 IPS |
|
|
Object Detection (HP)
|
98% |
417
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
898
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1284
15.3 IPS |
|
|
Face Detection (Q)
|
95% |
1823
21.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1654
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
965
7.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
2059
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2387
3.10 IPS |
|
|
Style Transfer (HP)
|
89% |
4777
6.20 IPS |
|
|
Style Transfer (Q)
|
98% |
8197
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1226
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.6 IPS |
|
|
Text Classification (HP)
|
99% |
277
369.8 IPS |
|
|
Text Classification (Q)
|
88% |
516
696.6 IPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
509
18.1 IPS |
