samsung SM-S921E
Geekbench AI Score
395
Single Precision Score
386
Half Precision Score
840
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
791
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
423
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1472
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
87% |
623
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (Q)
|
97% |
1301
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
983
8.92 IPS |
|
|
Style Transfer (SP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1708
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
791
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.7 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.6 IPS |
|
|
Text Classification (Q)
|
91% |
476
639.5 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
57% |
378
9.24 IPS |
