samsung SM-S721B
Geekbench AI Score
1438
Single Precision Score
1370
Half Precision Score
1309
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 12:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
609
113.2 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (Q)
|
99% |
566
105.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1469
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2400
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
608
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2318
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3276
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2506
19.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2057
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9108
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7403
9.52 IPS |
|
|
Style Transfer (Q)
|
98% |
7176
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
962
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
424
565.5 IPS |
|
|
Text Classification (HP)
|
100% |
421
561.9 IPS |
|
|
Text Classification (Q)
|
91% |
703
944.3 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
528
12.9 IPS |
