samsung SM-S721B
Geekbench AI Score
3521
Single Precision Score
24812
Half Precision Score
46410
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 05:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
17115
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
32988
6.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12566
204.4 IPS |
|
|
Image Segmentation (Q)
|
96% |
28284
460.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13857
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87403
102.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
302116
353.8 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
13859
1.10 KIPS |
|
|
Object Detection (Q)
|
90% |
23276
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5014
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
38577
458.4 IPS |
|
|
Face Detection (Q)
|
97% |
97922
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
79% |
56013
444.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
105334
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
28912
37.2 IPS |
|
|
Style Transfer (HP)
|
99% |
174022
223.7 IPS |
|
|
Style Transfer (Q)
|
98% |
267300
344.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4184
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22649
853.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59439
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
659
880.3 IPS |
|
|
Text Classification (HP)
|
100% |
6894
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8116
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5782
99.6 IPS |
|
|
Machine Translation (Q)
|
56% |
5313
136.3 IPS |
