samsung SM-M045F
Geekbench AI Score
156
Single Precision Score
151
Half Precision Score
160
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 04:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M045F |
| Model ID | samsung SM-M045F |
| Motherboard | m04 |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.1 IPS |
|
|
Image Classification (Q)
|
100% |
104
19.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
88
1.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
158
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
240
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
71
5.65 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.77 IPS |
|
|
Object Detection (Q)
|
83% |
105
8.51 IPS |
|
|
Face Detection (SP)
|
100% |
196
2.33 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (Q)
|
95% |
300
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
261
2.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
241
2.21 IPS |
|
|
Style Transfer (SP)
|
89% |
646
0.84 IPS |
|
|
Style Transfer (HP)
|
89% |
652
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
632
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
143
5.31 IPS |
|
|
Text Classification (SP)
|
100% |
81
107.9 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.0 IPS |
|
|
Text Classification (Q)
|
88% |
84
113.8 IPS |
|
|
Machine Translation (SP)
|
100% |
109
1.87 IPS |
|
|
Machine Translation (HP)
|
100% |
112
1.93 IPS |
|
|
Machine Translation (Q)
|
50% |
50
1.79 IPS |
