Samsung Galaxy S24+
Geekbench AI Score
297
Single Precision Score
315
Half Precision Score
938
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 22 2025 08:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.0 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
742
12.1 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1893
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
702
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (Q)
|
97% |
1339
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
494
3.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1093
9.92 IPS |
|
|
Style Transfer (SP)
|
100% |
806
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
827
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2004
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
361
482.1 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.9 IPS |
|
|
Text Classification (Q)
|
91% |
566
760.4 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
471
11.5 IPS |
