Samsung Galaxy S24+
Geekbench AI Score
1442
Single Precision Score
2384
Half Precision Score
1757
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
852
158.4 IPS |
|
|
Image Classification (HP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (Q)
|
100% |
1313
244.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1523
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5945
6.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
12601
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12817
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (HP)
|
99% |
1076
85.3 IPS |
|
|
Object Detection (Q)
|
84% |
1008
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5061
60.1 IPS |
|
|
Face Detection (Q)
|
97% |
3840
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4206
32.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6620
51.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4696
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14443
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25418
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22819
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3840
142.3 IPS |
|
|
Text Classification (SP)
|
29% |
26
457.5 IPS |
|
|
Text Classification (HP)
|
29% |
40
684.8 IPS |
|
|
Text Classification (Q)
|
29% |
31
542.0 IPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
42% |
222
14.4 IPS |
