samsung SM-S721B
Geekbench AI Score
2316
Single Precision Score
2281
Half Precision Score
3859
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 07:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1864
346.7 IPS |
|
|
Image Classification (HP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (Q)
|
100% |
3137
583.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3844
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3464
4.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
7820
9.27 IPS |
|
|
Object Detection (SP)
|
98% |
1655
131.7 IPS |
|
|
Object Detection (HP)
|
98% |
1622
129.1 IPS |
|
|
Object Detection (Q)
|
83% |
2776
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
5908
70.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3387
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3325
25.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5895
54.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8452
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8527
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16982
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4648
172.2 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
1345
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
