samsung SM-S721B
Geekbench AI Score
3080
Single Precision Score
24809
Half Precision Score
46488
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Abdelrahman7680 |
| Upload Date | July 14 2025 08:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
17055
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32590
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (HP)
|
97% |
12371
201.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
28367
461.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12682
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87035
101.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
302799
354.6 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
13961
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23442
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
38774
460.7 IPS |
|
|
Face Detection (Q)
|
97% |
96792
1.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5153
39.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
56663
450.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
105863
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
24808
31.9 IPS |
|
|
Style Transfer (HP)
|
99% |
170160
219.4 IPS |
|
|
Style Transfer (Q)
|
98% |
271177
349.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22743
858.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
56649
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
561
748.3 IPS |
|
|
Text Classification (HP)
|
100% |
6830
9.12 KIPS |
|
|
Text Classification (Q)
|
93% |
8295
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5935
102.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5503
141.2 IPS |
