Samsung Galaxy S24+
Geekbench AI Score
2083
Single Precision Score
3323
Half Precision Score
2583
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:16 PM |
| Views | 4 |
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% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
2091
388.9 IPS |
|
|
Image Classification (Q)
|
100% |
1711
318.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4480
72.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4642
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10346
12.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
18779
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18577
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1149
91.2 IPS |
|
|
Object Detection (HP)
|
99% |
1779
141.1 IPS |
|
|
Object Detection (Q)
|
87% |
1600
128.4 IPS |
|
|
Face Detection (SP)
|
100% |
4315
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7723
91.8 IPS |
|
|
Face Detection (Q)
|
97% |
5892
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5323
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7827
60.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6005
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13088
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29289
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27648
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2948
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4700
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4470
165.7 IPS |
|
|
Text Classification (SP)
|
35% |
48
469.4 IPS |
|
|
Text Classification (HP)
|
35% |
72
653.8 IPS |
|
|
Text Classification (Q)
|
33% |
53
641.5 IPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
97% |
877
15.2 IPS |
|
|
Machine Translation (Q)
|
43% |
242
13.8 IPS |
