Samsung Galaxy S24
Geekbench AI Score
3102
Single Precision Score
24933
Half Precision Score
46124
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 06:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
16867
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
32303
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12546
204.1 IPS |
|
|
Image Segmentation (Q)
|
96% |
28349
461.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12648
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87941
102.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
302489
354.2 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
13958
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
20794
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
4597
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
39161
465.3 IPS |
|
|
Face Detection (Q)
|
97% |
99303
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56311
447.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
106234
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
25237
32.4 IPS |
|
|
Style Transfer (HP)
|
99% |
171460
220.4 IPS |
|
|
Style Transfer (Q)
|
98% |
261198
336.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3974
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22710
855.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59533
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
576
768.4 IPS |
|
|
Text Classification (HP)
|
100% |
7066
9.43 KIPS |
|
|
Text Classification (Q)
|
93% |
8345
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5891
101.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5527
141.8 IPS |
