Samsung Galaxy S21 5G
Geekbench AI Score
980
Single Precision Score
1471
Half Precision Score
1332
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 07:43 AM |
| 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-G991U1 |
| 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% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (Q)
|
99% |
1082
201.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4833
5.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
8490
9.91 IPS |
|
|
Pose Estimation (Q)
|
97% |
8378
9.81 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
99% |
819
64.9 IPS |
|
|
Object Detection (Q)
|
85% |
757
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
2562
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2393
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3582
27.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3005
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5966
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
11603
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11485
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1701
63.0 IPS |
|
|
Text Classification (SP)
|
35% |
33
326.2 IPS |
|
|
Text Classification (HP)
|
35% |
41
373.3 IPS |
|
|
Text Classification (Q)
|
35% |
39
355.2 IPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
97% |
346
5.98 IPS |
|
|
Machine Translation (Q)
|
64% |
270
5.54 IPS |
