Samsung Galaxy S21 5G
Geekbench AI Score
295
Single Precision Score
394
Half Precision Score
413
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 05:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (Q)
|
99% |
355
66.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
437
7.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1795
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6206
7.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
1309
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
87% |
496
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.96 IPS |
|
|
Face Detection (Q)
|
97% |
905
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
623
5.65 IPS |
|
|
Style Transfer (SP)
|
100% |
453
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
432
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
448
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
46
61.8 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.6 IPS |
|
|
Text Classification (Q)
|
91% |
41
55.0 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.11 IPS |
