Samsung Galaxy S24
Geekbench AI Score
1345
Single Precision Score
2450
Half Precision Score
1808
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 07:22 AM |
| 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% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
100% |
1501
279.2 IPS |
|
|
Image Classification (Q)
|
100% |
1398
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2293
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
12559
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12736
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (HP)
|
99% |
1055
83.7 IPS |
|
|
Object Detection (Q)
|
84% |
954
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5130
61.0 IPS |
|
|
Face Detection (Q)
|
97% |
3900
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3691
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6807
52.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
5017
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13444
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25026
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23986
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3312
122.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3339
123.8 IPS |
|
|
Text Classification (SP)
|
29% |
24
407.9 IPS |
|
|
Text Classification (HP)
|
35% |
63
572.8 IPS |
|
|
Text Classification (Q)
|
29% |
32
549.9 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
42% |
192
12.4 IPS |
