samsung SM-S921E
Geekbench AI Score
444
Single Precision Score
22249
Half Precision Score
50780
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 05 2025 06:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
310
57.7 IPS |
|
|
Image Classification (HP)
|
100% |
18302
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
42078
7.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
10810
175.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31228
507.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
100118
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398164
466.0 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
16329
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20212
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
34051
404.6 IPS |
|
|
Face Detection (Q)
|
97% |
119527
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
63943
492.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
117288
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (HP)
|
98% |
85459
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422116
544.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44197
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103508
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
338
451.4 IPS |
|
|
Text Classification (HP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6767
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2601
68.1 IPS |
