Samsung Galaxy S24 FE (SM-S721B) samsung SM-S721B
Geekbench AI Score
3576
Single Precision Score
24059
Half Precision Score
43637
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | March 01 2025 04:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
15223
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
32964
6.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3066
49.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12575
204.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
28384
461.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14700
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
86907
101.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
302916
354.7 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
13024
1.03 KIPS |
|
|
Object Detection (Q)
|
90% |
19741
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
35267
419.0 IPS |
|
|
Face Detection (Q)
|
97% |
84966
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56417
448.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
105085
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
29729
38.2 IPS |
|
|
Style Transfer (HP)
|
99% |
172298
222.1 IPS |
|
|
Style Transfer (Q)
|
98% |
267494
345.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4230
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22800
857.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
57119
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
632
844.2 IPS |
|
|
Text Classification (HP)
|
100% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6609
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5992
103.2 IPS |
|
|
Machine Translation (Q)
|
56% |
4963
127.3 IPS |
