Samsung Galaxy S21 5G
Geekbench AI Score
1083
Single Precision Score
1076
Half Precision Score
2131
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
513
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
100% |
1621
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1871
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
3652
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
87% |
1507
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
95% |
3609
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1996
15.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
3792
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3950
5.13 IPS |
|
|
Style Transfer (HP)
|
89% |
3919
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
8375
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2064
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.0 IPS |
|
|
Text Classification (HP)
|
100% |
548
731.8 IPS |
|
|
Text Classification (Q)
|
88% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
