samsung SM-S721B
Geekbench AI Score
3561
Single Precision Score
24942
Half Precision Score
46366
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:01 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% |
1644
305.7 IPS |
|
|
Image Classification (HP)
|
100% |
17038
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
33002
6.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
12396
201.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28381
461.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14237
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
86951
101.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
302651
354.4 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
14023
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21529
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
5127
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
39268
466.6 IPS |
|
|
Face Detection (Q)
|
97% |
98371
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56568
449.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
105822
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29538
38.0 IPS |
|
|
Style Transfer (HP)
|
99% |
171128
220.6 IPS |
|
|
Style Transfer (Q)
|
98% |
268600
346.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22828
858.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59229
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
627
836.8 IPS |
|
|
Text Classification (HP)
|
100% |
6862
9.16 KIPS |
|
|
Text Classification (Q)
|
93% |
8209
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6078
104.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5535
142.0 IPS |
