Samsung Galaxy S24+
Geekbench AI Score
2688
Single Precision Score
2719
Half Precision Score
4236
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 11 2025 02:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926N |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (Q)
|
100% |
3239
602.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3970
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4229
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
9346
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
2040
162.3 IPS |
|
|
Object Detection (HP)
|
98% |
2042
162.5 IPS |
|
|
Object Detection (Q)
|
83% |
2752
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (Q)
|
95% |
7266
86.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3716
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3745
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6928
63.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10149
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9940
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19317
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4883
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1351
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
877
31.1 IPS |
