Samsung Galaxy S24+
Geekbench AI Score
2428
Single Precision Score
2423
Half Precision Score
3524
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | wishbone521 |
| Upload Date | January 03 2025 02:56 PM |
| Views | 8 |
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% |
1876
348.9 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.2 IPS |
|
|
Image Classification (Q)
|
100% |
2858
531.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3619
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3897
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4021
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
8985
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1850
147.2 IPS |
|
|
Object Detection (HP)
|
98% |
1779
141.6 IPS |
|
|
Object Detection (Q)
|
83% |
2235
180.5 IPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (Q)
|
95% |
5091
60.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3353
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3605
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5989
54.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9292
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8673
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16074
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3776
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.3 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.7 IPS |
|
|
Text Classification (Q)
|
88% |
1058
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
728
25.8 IPS |
