Samsung Galaxy S24+
Geekbench AI Score
2218
Single Precision Score
3492
Half Precision Score
2729
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 07:17 AM |
| Views | 1 |
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-S926U |
| 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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (Q)
|
100% |
1951
362.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5288
85.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3962
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10930
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19837
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19597
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (HP)
|
99% |
1867
148.1 IPS |
|
|
Object Detection (Q)
|
87% |
1774
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
4475
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7463
88.7 IPS |
|
|
Face Detection (Q)
|
97% |
6063
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8442
65.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6494
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14011
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30553
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29765
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4829
179.0 IPS |
|
|
Text Classification (SP)
|
35% |
53
514.8 IPS |
|
|
Text Classification (HP)
|
35% |
77
702.2 IPS |
|
|
Text Classification (Q)
|
33% |
61
737.1 IPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
97% |
926
16.0 IPS |
|
|
Machine Translation (Q)
|
43% |
247
14.0 IPS |
