samsung SM-S721W
Geekbench AI Score
321
Single Precision Score
338
Half Precision Score
1086
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | December 02 2024 09:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S721W |
| Model ID | samsung SM-S721W |
| 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% |
297
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
99% |
756
141.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (Q)
|
87% |
809
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
97% |
1627
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
584
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
583
4.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1462
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2325
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1110
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.6 IPS |
|
|
Text Classification (HP)
|
100% |
437
582.7 IPS |
|
|
Text Classification (Q)
|
91% |
713
958.0 IPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
557
13.6 IPS |
