samsung SM-S721B
Geekbench AI Score
3594
Single Precision Score
25215
Half Precision Score
46329
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 02:50 PM |
| 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% |
1624
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
16942
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
32736
6.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3100
50.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12647
205.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28545
464.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14281
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88280
103.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
302439
354.2 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
14038
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21118
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
5236
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
39448
468.7 IPS |
|
|
Face Detection (Q)
|
97% |
97813
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
57242
454.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
106825
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29938
38.5 IPS |
|
|
Style Transfer (HP)
|
99% |
174936
224.9 IPS |
|
|
Style Transfer (Q)
|
98% |
266616
343.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4231
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22864
862.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59586
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
637
850.7 IPS |
|
|
Text Classification (HP)
|
100% |
7048
9.41 KIPS |
|
|
Text Classification (Q)
|
93% |
8317
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6149
105.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5529
141.8 IPS |
