Samsung Galaxy S24
Geekbench AI Score
3568
Single Precision Score
24108
Half Precision Score
46032
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
16347
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
31857
5.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12221
198.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
27738
451.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14356
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
82249
96.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
302839
354.6 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
14125
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23409
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5142
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
37792
449.0 IPS |
|
|
Face Detection (Q)
|
97% |
97483
1.16 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5714
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
50759
403.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
103253
990.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29629
38.1 IPS |
|
|
Style Transfer (HP)
|
99% |
161090
207.7 IPS |
|
|
Style Transfer (Q)
|
98% |
258970
334.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4226
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
81% |
21920
827.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
57643
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
629
839.6 IPS |
|
|
Text Classification (HP)
|
100% |
6893
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8047
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
56% |
5640
144.7 IPS |
