samsung SM-S721B
Geekbench AI Score
2190
Single Precision Score
2166
Half Precision Score
3022
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 08:22 PM |
| Views | 3 |
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% |
2308
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (Q)
|
100% |
3083
573.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3718
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3302
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
6450
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (HP)
|
98% |
1541
122.7 IPS |
|
|
Object Detection (Q)
|
83% |
1912
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (Q)
|
95% |
4433
52.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2969
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4456
40.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7427
9.64 IPS |
|
|
Style Transfer (HP)
|
89% |
7527
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
12847
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3208
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.8 IPS |
|
|
Text Classification (HP)
|
99% |
579
772.4 IPS |
|
|
Text Classification (Q)
|
88% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
624
22.2 IPS |
