Samsung Galaxy S24+
Geekbench AI Score
399
Single Precision Score
393
Half Precision Score
870
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
292
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
99% |
763
142.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
735
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
394
0.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
1550
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
87% |
636
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (Q)
|
97% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
495
3.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1031
9.36 IPS |
|
|
Style Transfer (SP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
705
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1799
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
863
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
313
417.7 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.6 IPS |
|
|
Text Classification (Q)
|
91% |
529
711.7 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
57% |
403
9.84 IPS |
