Samsung Galaxy M21
Geekbench AI Score
120
Single Precision Score
159
Half Precision Score
157
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 06 2024 06:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 9611 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy M21 |
| Model ID | samsung SM-M215F |
| Motherboard | exynos9611 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 3.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
152
2.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
109
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.93 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
147
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.52 IPS |
|
|
Face Detection (Q)
|
97% |
359
4.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
130
1.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.41 IPS |
|
|
Depth Estimation (Q)
|
62% |
202
1.91 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
456
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
176
6.50 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.5 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.1 IPS |
|
|
Text Classification (Q)
|
91% |
63
84.2 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (Q)
|
57% |
64
1.56 IPS |
