samsung SM-S721B
Geekbench AI Score
1436
Single Precision Score
2620
Half Precision Score
1864
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 09:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
868
161.4 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (Q)
|
100% |
1178
219.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2197
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6079
7.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
13141
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13200
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (HP)
|
99% |
1196
94.8 IPS |
|
|
Object Detection (Q)
|
84% |
1088
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (Q)
|
97% |
4225
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3785
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6613
51.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4993
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13583
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25397
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23566
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1981
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4084
151.3 IPS |
|
|
Text Classification (SP)
|
29% |
29
505.0 IPS |
|
|
Text Classification (HP)
|
35% |
85
776.5 IPS |
|
|
Text Classification (Q)
|
29% |
32
545.5 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
42% |
210
13.6 IPS |
