samsung SM-S921E
Geekbench AI Score
2034
Single Precision Score
2006
Half Precision Score
2968
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 08:20 PM |
| 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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
1877
349.0 IPS |
|
|
Image Classification (Q)
|
100% |
1116
207.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3304
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3476
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
6236
7.40 IPS |
|
|
Object Detection (SP)
|
98% |
1728
137.5 IPS |
|
|
Object Detection (HP)
|
98% |
1538
122.4 IPS |
|
|
Object Detection (Q)
|
83% |
2232
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5479
65.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3585
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3382
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5565
51.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8536
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8584
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14015
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3778
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
643
857.9 IPS |
|
|
Text Classification (HP)
|
99% |
642
856.9 IPS |
|
|
Text Classification (Q)
|
88% |
1038
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
618
21.9 IPS |
