Samsung Galaxy S24+
Geekbench AI Score
2236
Single Precision Score
2227
Half Precision Score
3230
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 02:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (Q)
|
100% |
3449
641.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3617
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3767
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
7614
9.03 IPS |
|
|
Object Detection (SP)
|
98% |
1420
113.0 IPS |
|
|
Object Detection (HP)
|
98% |
1606
127.8 IPS |
|
|
Object Detection (Q)
|
83% |
1977
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (Q)
|
95% |
4803
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3656
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3812
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4862
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7730
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7763
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14267
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3445
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (HP)
|
99% |
580
774.0 IPS |
|
|
Text Classification (Q)
|
88% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
648
23.0 IPS |
