Samsung Galaxy S24
Geekbench AI Score
1312
Single Precision Score
2462
Half Precision Score
1828
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:00 PM |
| Views | 2 |
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% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (Q)
|
100% |
1417
263.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2246
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6249
7.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
13355
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12558
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
99% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
84% |
969
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4515
53.6 IPS |
|
|
Face Detection (Q)
|
97% |
4181
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3647
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6516
50.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4946
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13458
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23905
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23431
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3341
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3449
127.8 IPS |
|
|
Text Classification (SP)
|
29% |
24
421.9 IPS |
|
|
Text Classification (HP)
|
35% |
68
614.9 IPS |
|
|
Text Classification (Q)
|
29% |
33
563.6 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
42% |
196
12.7 IPS |
