Samsung Galaxy M21
Geekbench AI Score
263
Single Precision Score
264
Half Precision Score
328
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
100% |
206
38.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
274
4.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
593
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
485
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.10 IPS |
|
|
Object Detection (Q)
|
83% |
212
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (Q)
|
95% |
561
6.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
506
4.63 IPS |
|
|
Style Transfer (SP)
|
89% |
1022
1.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1021
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
1342
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.7 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.3 IPS |
|
|
Text Classification (Q)
|
88% |
188
254.0 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
50% |
124
4.42 IPS |
