samsung SM-S721B
Geekbench AI Score
955
Single Precision Score
1749
Half Precision Score
1246
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Striker7680 |
| Upload Date | July 14 2025 08:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
621
115.5 IPS |
|
|
Image Classification (HP)
|
100% |
1038
193.1 IPS |
|
|
Image Classification (Q)
|
100% |
1062
197.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1650
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5504
6.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
11118
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10040
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
99% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
84% |
615
49.6 IPS |
|
|
Face Detection (SP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2394
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2691
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4854
37.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
3746
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9529
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17824
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16697
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2159
80.0 IPS |
|
|
Text Classification (SP)
|
29% |
16
277.3 IPS |
|
|
Text Classification (HP)
|
35% |
40
365.5 IPS |
|
|
Text Classification (Q)
|
30% |
21
337.1 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
42% |
123
7.95 IPS |
