Samsung Galaxy S24+
Geekbench AI Score
2725
Single Precision Score
2708
Half Precision Score
4243
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 07:12 AM |
| Views | 1 |
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-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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.8 IPS |
|
|
Image Classification (Q)
|
100% |
3519
654.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4205
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4075
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3998
4.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
9462
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
2134
169.8 IPS |
|
|
Object Detection (HP)
|
98% |
2139
170.2 IPS |
|
|
Object Detection (Q)
|
83% |
3315
267.7 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (Q)
|
95% |
7276
86.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3938
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3635
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6629
60.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10044
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9842
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19189
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4688
173.7 IPS |
|
|
Text Classification (SP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1303
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (Q)
|
50% |
721
25.6 IPS |
