Samsung Galaxy S24+
Geekbench AI Score
2144
Single Precision Score
2179
Half Precision Score
3060
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:55 PM |
| Views | 2 |
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% |
1601
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
100% |
2816
523.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3072
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
6794
8.06 IPS |
|
|
Object Detection (SP)
|
98% |
1618
128.8 IPS |
|
|
Object Detection (HP)
|
98% |
1437
114.4 IPS |
|
|
Object Detection (Q)
|
83% |
2100
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
3373
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
4710
56.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3218
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3210
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4788
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7926
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7798
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14253
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3400
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.1 IPS |
|
|
Text Classification (HP)
|
99% |
625
834.0 IPS |
|
|
Text Classification (Q)
|
88% |
860
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.1 IPS |
