Samsung Galaxy S24
Geekbench AI Score
250
Single Precision Score
262
Half Precision Score
742
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
294
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
99% |
757
141.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1869
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
87% |
516
41.3 IPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
97% |
975
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
392
3.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
393
3.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
880
7.99 IPS |
|
|
Style Transfer (SP)
|
100% |
654
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
652
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1522
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
246
327.9 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.5 IPS |
|
|
Text Classification (Q)
|
91% |
384
516.5 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.59 IPS |
