Samsung Galaxy S24+
Geekbench AI Score
2056
Single Precision Score
2149
Half Precision Score
3336
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (Q)
|
100% |
3113
579.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3530
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
8298
9.84 IPS |
|
|
Object Detection (SP)
|
98% |
1263
100.5 IPS |
|
|
Object Detection (HP)
|
98% |
1784
141.9 IPS |
|
|
Object Detection (Q)
|
83% |
1743
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5704
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3521
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3436
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5484
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8407
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
7133
9.26 IPS |
|
|
Style Transfer (Q)
|
98% |
14938
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3708
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.9 IPS |
|
|
Text Classification (HP)
|
99% |
631
842.5 IPS |
|
|
Text Classification (Q)
|
88% |
954
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
