Samsung Galaxy M21
Geekbench AI Score
290
Single Precision Score
485
Half Precision Score
380
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | kasid |
| Upload Date | December 27 2025 05:15 AM |
| 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 | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
2110
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
99% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
83% |
269
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
866
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
677
5.22 IPS |
|
|
Depth Estimation (HP)
|
98% |
1243
9.61 IPS |
|
|
Depth Estimation (Q)
|
62% |
981
9.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1416
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2939
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2879
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
730
27.1 IPS |
|
|
Text Classification (SP)
|
35% |
10
95.5 IPS |
|
|
Text Classification (HP)
|
35% |
13
121.6 IPS |
|
|
Text Classification (Q)
|
33% |
10
119.4 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
43% |
57
3.33 IPS |
