samsung SM-S721B
Geekbench AI Score
1980
Single Precision Score
1911
Half Precision Score
2703
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 11:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1653
307.5 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
100% |
1921
357.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2326
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3104
3.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
6657
7.90 IPS |
|
|
Object Detection (SP)
|
98% |
1535
122.2 IPS |
|
|
Object Detection (HP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (Q)
|
83% |
1910
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
4425
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3074
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4224
38.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6994
9.08 IPS |
|
|
Style Transfer (HP)
|
89% |
6977
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
12684
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3036
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
551
734.8 IPS |
|
|
Text Classification (HP)
|
99% |
537
717.3 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
