Samsung Galaxy S24+
Geekbench AI Score
2593
Single Precision Score
2621
Half Precision Score
4111
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 22 2025 07:56 PM |
| Views | 10 |
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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (Q)
|
100% |
3500
650.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3932
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4008
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
8988
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
2059
163.8 IPS |
|
|
Object Detection (HP)
|
98% |
2081
165.6 IPS |
|
|
Object Detection (Q)
|
83% |
3195
258.1 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3716
44.1 IPS |
|
|
Face Detection (Q)
|
95% |
7357
87.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3991
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3877
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6581
60.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9557
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9511
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17755
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4644
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1239
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
707
25.1 IPS |
