Samsung Galaxy S21+ 5G
Geekbench AI Score
660
Single Precision Score
664
Half Precision Score
1205
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 11:52 AM |
| Views | 1 |
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-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% |
301
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.1 IPS |
|
|
Image Classification (Q)
|
100% |
821
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1421
1.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
2126
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
83% |
808
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1857
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1246
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1242
9.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1937
17.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2483
3.22 IPS |
|
|
Style Transfer (HP)
|
89% |
2496
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
4620
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1175
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.3 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.3 IPS |
|
|
Text Classification (Q)
|
88% |
548
739.1 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
50% |
312
11.1 IPS |
