Samsung Galaxy S21 5G
Geekbench AI Score
999
Single Precision Score
1472
Half Precision Score
1340
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 05:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991U |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.3 IPS |
|
|
Image Classification (Q)
|
99% |
1041
194.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4872
5.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
8310
9.70 IPS |
|
|
Pose Estimation (Q)
|
97% |
8238
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.0 IPS |
|
|
Object Detection (HP)
|
99% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
85% |
776
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
2488
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2442
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3558
27.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2924
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6034
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
11659
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
11473
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1756
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1688
62.6 IPS |
|
|
Text Classification (SP)
|
35% |
35
338.4 IPS |
|
|
Text Classification (HP)
|
35% |
44
403.7 IPS |
|
|
Text Classification (Q)
|
35% |
42
381.1 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
97% |
362
6.26 IPS |
|
|
Machine Translation (Q)
|
64% |
284
5.85 IPS |
