Samsung Galaxy S24+
Geekbench AI Score
2528
Single Precision Score
2544
Half Precision Score
3937
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 06:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926B |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.2 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.5 IPS |
|
|
Image Classification (Q)
|
100% |
3505
651.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4010
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3895
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3880
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
8867
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1950
155.2 IPS |
|
|
Object Detection (HP)
|
98% |
2010
159.9 IPS |
|
|
Object Detection (Q)
|
83% |
3123
252.2 IPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (Q)
|
95% |
6524
77.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3898
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3917
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6592
60.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9585
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9241
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16179
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3845
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.8 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.8 IPS |
|
|
Text Classification (Q)
|
88% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
788
28.0 IPS |
