Samsung Galaxy S24+
Geekbench AI Score
3456
Single Precision Score
25092
Half Precision Score
46975
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 22 2025 08:12 PM |
| Views | 3 |
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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
16872
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
33176
6.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
12489
203.2 IPS |
|
|
Image Segmentation (Q)
|
96% |
27724
451.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13305
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
87986
102.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
302909
354.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
14018
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23426
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5071
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
39630
470.9 IPS |
|
|
Face Detection (Q)
|
97% |
101626
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5185
39.9 IPS |
|
|
Depth Estimation (HP)
|
79% |
56619
449.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
106237
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29220
37.6 IPS |
|
|
Style Transfer (HP)
|
99% |
173678
223.3 IPS |
|
|
Style Transfer (Q)
|
98% |
276797
357.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4115
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22687
856.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59719
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
630
840.7 IPS |
|
|
Text Classification (HP)
|
100% |
7122
9.51 KIPS |
|
|
Text Classification (Q)
|
93% |
8368
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6048
104.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5368
137.7 IPS |
