Samsung Galaxy S24+
Geekbench AI Score
2359
Single Precision Score
2366
Half Precision Score
3375
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1856
345.2 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (Q)
|
100% |
2660
494.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3987
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3887
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
8581
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1931
153.7 IPS |
|
|
Object Detection (HP)
|
98% |
1916
152.5 IPS |
|
|
Object Detection (Q)
|
83% |
2093
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (Q)
|
95% |
5528
66.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3231
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3207
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4882
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8189
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8246
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15220
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3803
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.0 IPS |
|
|
Text Classification (HP)
|
99% |
661
881.8 IPS |
|
|
Text Classification (Q)
|
88% |
1001
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
644
22.8 IPS |
