Samsung Galaxy S24+
Geekbench AI Score
2973
Single Precision Score
24166
Half Precision Score
45442
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 06:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926B |
| 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 @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
17095
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
31954
5.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
97% |
12169
198.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
27625
449.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12935
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
86002
100.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
301533
353.1 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
13628
1.08 KIPS |
|
|
Object Detection (Q)
|
90% |
20270
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
39038
463.9 IPS |
|
|
Face Detection (Q)
|
97% |
99498
1.19 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5008
38.6 IPS |
|
|
Depth Estimation (HP)
|
79% |
55564
441.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
103842
996.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (HP)
|
99% |
171644
220.7 IPS |
|
|
Style Transfer (Q)
|
98% |
269324
347.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
21934
828.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
56856
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
542
723.2 IPS |
|
|
Text Classification (HP)
|
100% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
8412
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5675
97.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5230
134.1 IPS |
