Samsung Galaxy S24+
Geekbench AI Score
2046
Single Precision Score
3178
Half Precision Score
2441
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S9260 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
1820
338.4 IPS |
|
|
Image Classification (Q)
|
100% |
1709
317.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4568
74.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3544
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10454
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
18717
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18310
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
99% |
1691
134.1 IPS |
|
|
Object Detection (Q)
|
87% |
1680
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
8580
101.9 IPS |
|
|
Face Detection (Q)
|
97% |
5354
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7988
61.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
6529
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13447
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27789
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25981
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2715
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4321
160.1 IPS |
|
|
Text Classification (SP)
|
35% |
45
435.8 IPS |
|
|
Text Classification (HP)
|
35% |
58
530.3 IPS |
|
|
Text Classification (Q)
|
33% |
44
533.3 IPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
97% |
838
14.5 IPS |
|
|
Machine Translation (Q)
|
43% |
234
13.3 IPS |
