samsung SM-M045F
Geekbench AI Score
178
Single Precision Score
178
Half Precision Score
198
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 03:48 AM |
| Views | 2 |
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% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (Q)
|
100% |
189
35.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
304
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.54 IPS |
|
|
Object Detection (HP)
|
100% |
87
6.93 IPS |
|
|
Object Detection (Q)
|
83% |
124
10.0 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (HP)
|
100% |
210
2.50 IPS |
|
|
Face Detection (Q)
|
95% |
354
4.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
268
2.45 IPS |
|
|
Style Transfer (SP)
|
89% |
679
0.88 IPS |
|
|
Style Transfer (HP)
|
89% |
698
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
659
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.66 IPS |
|
|
Text Classification (SP)
|
100% |
67
88.8 IPS |
|
|
Text Classification (HP)
|
100% |
82
109.5 IPS |
|
|
Text Classification (Q)
|
88% |
100
134.9 IPS |
|
|
Machine Translation (SP)
|
100% |
111
1.92 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (Q)
|
50% |
54
1.90 IPS |
