Samsung Galaxy S24+
Geekbench AI Score
1672
Single Precision Score
1491
Half Precision Score
1482
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 22 2025 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
780
145.1 IPS |
|
|
Image Classification (HP)
|
100% |
801
148.9 IPS |
|
|
Image Classification (Q)
|
99% |
810
151.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1750
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2481
2.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
2462
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
975
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (Q)
|
86% |
744
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
2902
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2389
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1918
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9086
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7434
9.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7244
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1242
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.6 IPS |
|
|
Text Classification (HP)
|
100% |
436
582.3 IPS |
|
|
Text Classification (Q)
|
91% |
716
962.2 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
550
13.4 IPS |
