samsung SM-S721B
Geekbench AI Score
2144
Single Precision Score
2134
Half Precision Score
3041
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 04:09 AM |
| 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% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (Q)
|
100% |
3168
589.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3523
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
7291
8.65 IPS |
|
|
Object Detection (SP)
|
98% |
1360
108.2 IPS |
|
|
Object Detection (HP)
|
98% |
1336
106.3 IPS |
|
|
Object Detection (Q)
|
83% |
1921
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
95% |
4279
51.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3069
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3087
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4618
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7462
9.69 IPS |
|
|
Style Transfer (HP)
|
89% |
7358
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
13400
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3260
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
596
795.8 IPS |
|
|
Text Classification (HP)
|
99% |
552
737.2 IPS |
|
|
Text Classification (Q)
|
88% |
801
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
627
22.2 IPS |
