SHARP SH-M29
Geekbench AI Score
56
Single Precision Score
56
Half Precision Score
9603
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 09:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | SHARP SH-M29 |
| Model ID | SHARP SH-M29 |
| Motherboard | Naze |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.96 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.07 IPS |
|
|
Image Classification (Q)
|
97% |
9062
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
43
0.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
6835
111.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
50
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
31541
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.64 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.65 IPS |
|
|
Object Detection (Q)
|
86% |
4054
326.0 IPS |
|
|
Face Detection (SP)
|
100% |
77
0.91 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (Q)
|
97% |
19627
234.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
69
0.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
69
0.53 IPS |
|
|
Depth Estimation (Q)
|
63% |
21092
197.5 IPS |
|
|
Style Transfer (SP)
|
100% |
136
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
69362
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16816
623.1 IPS |
|
|
Text Classification (SP)
|
100% |
55
72.9 IPS |
|
|
Text Classification (HP)
|
100% |
55
74.0 IPS |
|
|
Text Classification (Q)
|
93% |
2760
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (HP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (Q)
|
55% |
632
16.6 IPS |
