Samsung Galaxy S24+
Geekbench AI Score
1273
Single Precision Score
2467
Half Precision Score
1764
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 01:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926N |
| 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% |
709
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (Q)
|
100% |
1199
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2411
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
99% |
13863
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11947
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
99% |
1027
81.5 IPS |
|
|
Object Detection (Q)
|
84% |
963
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
2470
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (Q)
|
97% |
3797
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3713
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6494
50.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4764
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12969
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23281
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22817
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3500
129.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3247
120.3 IPS |
|
|
Text Classification (SP)
|
29% |
22
373.6 IPS |
|
|
Text Classification (HP)
|
35% |
70
638.3 IPS |
|
|
Text Classification (Q)
|
30% |
34
553.6 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
42% |
193
12.5 IPS |
