samsung SM-S921E
Geekbench AI Score
2274
Single Precision Score
3464
Half Precision Score
2740
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:16 AM |
| Views | 1 |
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% |
1413
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (Q)
|
100% |
2041
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4929
79.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4216
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11114
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
20563
24.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19853
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
99% |
1871
148.4 IPS |
|
|
Object Detection (Q)
|
87% |
1800
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
7489
89.0 IPS |
|
|
Face Detection (Q)
|
97% |
6013
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8522
65.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6503
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14044
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30061
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29856
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3143
116.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4974
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4878
180.8 IPS |
|
|
Text Classification (SP)
|
35% |
54
529.9 IPS |
|
|
Text Classification (HP)
|
35% |
74
668.4 IPS |
|
|
Text Classification (Q)
|
33% |
54
647.4 IPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
97% |
935
16.2 IPS |
|
|
Machine Translation (Q)
|
43% |
253
14.4 IPS |
