Samsung Galaxy S24+
Geekbench AI Score
315
Single Precision Score
332
Half Precision Score
1062
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (Q)
|
97% |
723
135.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
747
12.2 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1902
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
89% |
772
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (Q)
|
97% |
1599
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.35 IPS |
|
|
Depth Estimation (HP)
|
100% |
568
4.37 IPS |
|
|
Depth Estimation (Q)
|
73% |
1666
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
933
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2321
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1057
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.7 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.5 IPS |
|
|
Text Classification (Q)
|
91% |
660
886.5 IPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
536
13.1 IPS |
