samsung SM-S721B
Geekbench AI Score
3513
Single Precision Score
23299
Half Precision Score
40964
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 05:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.11 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
15923
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
28472
5.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
11523
187.5 IPS |
|
|
Image Segmentation (Q)
|
96% |
23780
387.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13577
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
79044
92.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
245650
287.7 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
13193
1.05 KIPS |
|
|
Object Detection (Q)
|
90% |
20449
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
5070
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
36931
438.8 IPS |
|
|
Face Detection (Q)
|
97% |
82859
988.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
52532
417.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
90493
868.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28066
36.1 IPS |
|
|
Style Transfer (HP)
|
99% |
160509
206.3 IPS |
|
|
Style Transfer (Q)
|
98% |
232154
299.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
85% |
20863
782.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
50327
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
648
864.8 IPS |
|
|
Text Classification (HP)
|
100% |
6666
8.90 KIPS |
|
|
Text Classification (Q)
|
93% |
8232
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5689
98.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5425
139.2 IPS |
