Samsung Galaxy S24
Geekbench AI Score
289
Single Precision Score
304
Half Precision Score
891
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | TheSub |
| Upload Date | December 26 2025 04:38 PM |
| Views | 12 |
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% |
297
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
775
144.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1971
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
87% |
807
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.05 IPS |
|
|
Face Detection (Q)
|
97% |
1663
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1210
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
857
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1591
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
676
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.2 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.2 IPS |
|
|
Text Classification (Q)
|
91% |
430
577.4 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.93 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.51 IPS |
