Samsung Galaxy S24
Geekbench AI Score
244
Single Precision Score
253
Half Precision Score
659
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.6 IPS |
|
|
Image Classification (Q)
|
99% |
719
134.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
632
10.3 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1609
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
87% |
470
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (Q)
|
97% |
918
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
385
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
367
2.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
840
7.62 IPS |
|
|
Style Transfer (SP)
|
100% |
614
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1457
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
617
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.3 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.7 IPS |
|
|
Text Classification (Q)
|
91% |
210
282.4 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (Q)
|
57% |
311
7.59 IPS |
