samsung SM-S721B
Geekbench AI Score
3541
Single Precision Score
24983
Half Precision Score
46349
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | harsidh |
| Upload Date | September 26 2025 05:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1617
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
17063
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32666
6.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3068
49.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12380
201.4 IPS |
|
|
Image Segmentation (Q)
|
96% |
28376
461.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14452
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87994
102.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
302530
354.3 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
14060
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
21472
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
39246
466.3 IPS |
|
|
Face Detection (Q)
|
97% |
98708
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5585
43.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56598
449.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
106045
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29540
38.0 IPS |
|
|
Style Transfer (HP)
|
99% |
174085
223.8 IPS |
|
|
Style Transfer (Q)
|
98% |
267411
344.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22762
859.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59315
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
615
821.5 IPS |
|
|
Text Classification (HP)
|
100% |
6885
9.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8399
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5982
103.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5449
139.8 IPS |
