Samsung Galaxy S24
Geekbench AI Score
1359
Single Precision Score
2463
Half Precision Score
1775
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 01:38 PM |
| Views | 8 |
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-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% |
895
166.4 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.2 IPS |
|
|
Image Classification (Q)
|
100% |
1224
227.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2214
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
14483
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11843
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (HP)
|
99% |
1198
95.0 IPS |
|
|
Object Detection (Q)
|
84% |
1030
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (Q)
|
97% |
3867
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4224
32.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6527
50.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4928
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13184
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23208
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23386
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3197
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3381
125.3 IPS |
|
|
Text Classification (SP)
|
29% |
23
404.6 IPS |
|
|
Text Classification (HP)
|
35% |
62
563.9 IPS |
|
|
Text Classification (Q)
|
29% |
32
548.5 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
42% |
195
12.6 IPS |
