samsung SM-S721W
Geekbench AI Score
2474
Single Precision Score
2512
Half Precision Score
3956
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | December 02 2024 08:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1839
341.9 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.7 IPS |
|
|
Image Classification (Q)
|
100% |
3107
577.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3714
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3686
4.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
8471
10.0 IPS |
|
|
Object Detection (SP)
|
98% |
1879
149.6 IPS |
|
|
Object Detection (HP)
|
98% |
1935
154.0 IPS |
|
|
Object Detection (Q)
|
83% |
2565
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (Q)
|
95% |
6511
77.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3777
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3434
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6598
60.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9259
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8336
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18174
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4857
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1283
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
771
27.4 IPS |
