Samsung Galaxy S24+
Geekbench AI Score
2404
Single Precision Score
2391
Half Precision Score
3579
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 02:58 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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
100% |
3209
596.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3981
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3801
4.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
9029
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1786
142.2 IPS |
|
|
Object Detection (HP)
|
98% |
1627
129.4 IPS |
|
|
Object Detection (Q)
|
83% |
2255
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3497
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
5330
63.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3521
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3626
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5212
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8629
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8623
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15876
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3791
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.8 IPS |
|
|
Text Classification (HP)
|
99% |
658
878.4 IPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
753
26.7 IPS |
