samsung SM-S921E
Geekbench AI Score
2230
Single Precision Score
3460
Half Precision Score
2679
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2025 12:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S921E |
| Model ID | samsung SM-S921E |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (Q)
|
100% |
1846
343.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3080
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3889
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11168
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
20242
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
20030
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.1 IPS |
|
|
Object Detection (HP)
|
99% |
1904
151.0 IPS |
|
|
Object Detection (Q)
|
87% |
1838
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7545
89.6 IPS |
|
|
Face Detection (Q)
|
97% |
5896
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8635
66.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
6515
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14136
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30436
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29736
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3083
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4859
180.1 IPS |
|
|
Text Classification (SP)
|
35% |
51
501.2 IPS |
|
|
Text Classification (HP)
|
35% |
69
622.9 IPS |
|
|
Text Classification (Q)
|
33% |
51
608.9 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
97% |
952
16.5 IPS |
|
|
Machine Translation (Q)
|
43% |
255
14.5 IPS |
