Samsung Galaxy S24 FE (SM-S721B) samsung SM-S721B
Geekbench AI Score
1435
Single Precision Score
1159
Half Precision Score
1108
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | March 01 2025 04:23 PM |
| Views | 6 |
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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
99% |
379
70.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1554
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3480
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2455
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
517
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3074
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1931
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9169
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7535
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
7389
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1001
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.0 IPS |
|
|
Text Classification (Q)
|
91% |
315
423.7 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (Q)
|
57% |
456
11.1 IPS |
