samsung SM-S721B
Geekbench AI Score
2555
Single Precision Score
2558
Half Precision Score
4007
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 02:54 PM |
| Views | 3 |
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% |
2255
419.4 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.3 IPS |
|
|
Image Classification (Q)
|
100% |
3395
631.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3749
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3442
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
8178
9.70 IPS |
|
|
Object Detection (SP)
|
98% |
1842
146.6 IPS |
|
|
Object Detection (HP)
|
98% |
1905
151.6 IPS |
|
|
Object Detection (Q)
|
83% |
2672
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
6867
82.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3540
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3532
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6320
57.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9203
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9260
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16939
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4662
172.8 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1343
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
834
29.6 IPS |
