Samsung Galaxy S21 5G
Geekbench AI Score
664
Single Precision Score
666
Half Precision Score
1183
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | roberotto |
| Upload Date | October 11 2025 01:37 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
100% |
846
157.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
990
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1530
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1475
1.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
2127
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
83% |
791
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2011
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1250
9.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
1920
17.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2433
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2417
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4732
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1188
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.8 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.2 IPS |
|
|
Text Classification (Q)
|
88% |
542
730.6 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
