samsung SM-S721B
Geekbench AI Score
1292
Single Precision Score
2394
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 04:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
760
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.0 IPS |
|
|
Image Classification (Q)
|
100% |
1329
247.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2207
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7016
8.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
13638
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12149
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
99% |
1000
79.3 IPS |
|
|
Object Detection (Q)
|
84% |
953
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
4459
53.0 IPS |
|
|
Face Detection (Q)
|
97% |
3970
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3560
27.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6302
48.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4853
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13214
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23334
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23228
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3540
130.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3480
129.0 IPS |
|
|
Text Classification (SP)
|
29% |
23
388.7 IPS |
|
|
Text Classification (HP)
|
35% |
62
565.3 IPS |
|
|
Text Classification (Q)
|
31% |
37
546.8 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
42% |
188
12.2 IPS |
