Samsung Galaxy S21+ 5G
Geekbench AI Score
223
Single Precision Score
303
Half Precision Score
316
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jkm20 |
| Upload Date | March 03 2025 02:07 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
99% |
300
55.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
890
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
912
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (Q)
|
87% |
324
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
612
7.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
247
1.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
247
1.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
627
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
419
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
401
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
46
61.8 IPS |
|
|
Text Classification (HP)
|
100% |
152
202.3 IPS |
|
|
Text Classification (Q)
|
91% |
23
31.3 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (Q)
|
57% |
210
5.14 IPS |
