samsung SM-S721B
Geekbench AI Score
2171
Single Precision Score
2179
Half Precision Score
3319
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:29 AM |
| 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% |
1747
324.8 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (Q)
|
100% |
3240
602.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4003
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3612
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
8313
9.86 IPS |
|
|
Object Detection (SP)
|
98% |
1514
120.5 IPS |
|
|
Object Detection (HP)
|
98% |
1517
120.7 IPS |
|
|
Object Detection (Q)
|
83% |
2373
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4451
53.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3238
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3254
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5737
52.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8970
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8340
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13585
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3237
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
584
779.1 IPS |
|
|
Text Classification (HP)
|
99% |
598
798.7 IPS |
|
|
Text Classification (Q)
|
88% |
827
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
684
24.3 IPS |
