samsung SM-S921E
Geekbench AI Score
2247
Single Precision Score
2285
Half Precision Score
3378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 05 2025 06:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1707
317.5 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (Q)
|
100% |
2831
526.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3377
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3586
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3466
4.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
7886
9.35 IPS |
|
|
Object Detection (SP)
|
98% |
1683
133.9 IPS |
|
|
Object Detection (HP)
|
98% |
1482
118.0 IPS |
|
|
Object Detection (Q)
|
83% |
2107
170.2 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
5311
63.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3314
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3452
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5437
49.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8478
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8454
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15837
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3933
145.7 IPS |
|
|
Text Classification (SP)
|
100% |
705
940.9 IPS |
|
|
Text Classification (HP)
|
99% |
715
954.0 IPS |
|
|
Text Classification (Q)
|
88% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
614
21.8 IPS |
