SHARP SH-RM18
Geekbench AI Score
373
Single Precision Score
386
Half Precision Score
666
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 02:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | SHARP SH-RM18 |
| Model ID | SHARP SH-RM18 |
| Motherboard | Recoa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
100% |
392
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
751
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
954
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
358
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
95% |
915
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
694
5.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
907
8.30 IPS |
|
|
Style Transfer (SP)
|
89% |
1194
1.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1649
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3268
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
791
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.3 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.6 IPS |
|
|
Text Classification (Q)
|
88% |
440
593.0 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
