samsung SM-S921E
Geekbench AI Score
342
Single Precision Score
21624
Half Precision Score
49117
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:34 AM |
| Views | 1 |
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% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
17303
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
41505
7.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
10611
172.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29990
487.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
99728
116.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
396376
463.9 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
15566
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19188
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (HP)
|
100% |
31778
377.6 IPS |
|
|
Face Detection (Q)
|
97% |
105297
1.26 KIPS |
|
|
Depth Estimation (SP)
|
100% |
442
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
62689
483.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
112825
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (HP)
|
98% |
84910
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421079
543.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43945
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103526
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
289
385.8 IPS |
|
|
Text Classification (HP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6724
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2479
64.9 IPS |
