samsung SM-S721W
Geekbench AI Score
1600
Single Precision Score
1359
Half Precision Score
1336
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | December 02 2024 09:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
627
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
99% |
560
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1474
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3565
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2491
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2461
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
597
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
2263
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3120
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2483
19.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2033
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9266
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7477
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7309
9.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1083
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.5 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.7 IPS |
|
|
Text Classification (Q)
|
91% |
730
981.4 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
566
13.8 IPS |
