Samsung Galaxy S24
Geekbench AI Score
2604
Single Precision Score
2549
Half Precision Score
3926
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 03:48 AM |
| Views | 2 |
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-S921B |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (Q)
|
100% |
3502
651.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3887
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3792
4.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
8805
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
2047
162.9 IPS |
|
|
Object Detection (HP)
|
98% |
2072
164.9 IPS |
|
|
Object Detection (Q)
|
83% |
3108
251.0 IPS |
|
|
Face Detection (SP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
6738
80.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4280
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4168
32.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6150
56.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9696
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9361
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17377
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3776
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.8 IPS |
|
|
Text Classification (HP)
|
99% |
712
950.5 IPS |
|
|
Text Classification (Q)
|
88% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
726
25.8 IPS |
