samsung SM-S721B
Geekbench AI Score
3585
Single Precision Score
25252
Half Precision Score
47358
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 09:47 AM |
| Views | 2 |
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% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
17168
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33657
6.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (HP)
|
97% |
12659
205.9 IPS |
|
|
Image Segmentation (Q)
|
96% |
28356
461.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14161
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88165
102.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
303176
355.0 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
14095
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23291
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5202
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
39819
473.1 IPS |
|
|
Face Detection (Q)
|
97% |
101229
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5714
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56952
452.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
107336
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
29820
38.3 IPS |
|
|
Style Transfer (HP)
|
99% |
174424
224.2 IPS |
|
|
Style Transfer (Q)
|
98% |
265783
342.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22795
860.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59790
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
645
861.5 IPS |
|
|
Text Classification (HP)
|
100% |
7055
9.42 KIPS |
|
|
Text Classification (Q)
|
93% |
8680
11.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6139
105.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5619
144.1 IPS |
