Samsung Galaxy S24+
Geekbench AI Score
2210
Single Precision Score
2151
Half Precision Score
3220
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:41 PM |
| Views | 6 |
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% |
1942
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (Q)
|
100% |
2758
512.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3526
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
7464
8.85 IPS |
|
|
Object Detection (SP)
|
98% |
1586
126.2 IPS |
|
|
Object Detection (HP)
|
98% |
1574
125.2 IPS |
|
|
Object Detection (Q)
|
83% |
2306
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (Q)
|
95% |
4890
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3181
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5166
47.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7738
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7885
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14889
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3068
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.5 IPS |
|
|
Text Classification (HP)
|
99% |
648
864.3 IPS |
|
|
Text Classification (Q)
|
88% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
630
22.4 IPS |
