samsung SM-S721B
Geekbench AI Score
2283
Single Precision Score
2119
Half Precision Score
3214
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:02 PM |
| Views | 1 |
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% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (Q)
|
100% |
2872
534.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3542
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3712
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
6453
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
2041
162.4 IPS |
|
|
Object Detection (HP)
|
98% |
1436
114.2 IPS |
|
|
Object Detection (Q)
|
83% |
1909
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
95% |
6446
77.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3299
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3035
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4528
41.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7454
9.68 IPS |
|
|
Style Transfer (HP)
|
89% |
7443
9.66 IPS |
|
|
Style Transfer (Q)
|
98% |
13593
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3251
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
565
754.7 IPS |
|
|
Text Classification (HP)
|
99% |
535
714.5 IPS |
|
|
Text Classification (Q)
|
88% |
1244
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
586
20.8 IPS |
