Samsung Galaxy S24
Geekbench AI Score
1345
Single Precision Score
2479
Half Precision Score
1816
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (Q)
|
100% |
1251
232.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2315
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6424
7.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
12975
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12974
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
99% |
1177
93.3 IPS |
|
|
Object Detection (Q)
|
84% |
956
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (Q)
|
97% |
4014
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3683
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6382
49.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4856
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13455
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23347
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24016
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3457
128.1 IPS |
|
|
Text Classification (SP)
|
29% |
27
461.8 IPS |
|
|
Text Classification (HP)
|
35% |
68
615.9 IPS |
|
|
Text Classification (Q)
|
30% |
34
549.7 IPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
42% |
198
12.8 IPS |
