Samsung Galaxy S24
Geekbench AI Score
3532
Single Precision Score
24989
Half Precision Score
47277
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 27 2025 05:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
17002
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
33769
6.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
11981
194.9 IPS |
|
|
Image Segmentation (Q)
|
96% |
28453
463.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14096
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
88241
103.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
303295
355.2 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
14174
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23341
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4994
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
39360
467.7 IPS |
|
|
Face Detection (Q)
|
97% |
98982
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56998
452.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
107590
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
28804
37.0 IPS |
|
|
Style Transfer (HP)
|
99% |
172751
222.1 IPS |
|
|
Style Transfer (Q)
|
98% |
271536
350.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22795
859.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59679
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
650
867.4 IPS |
|
|
Text Classification (HP)
|
100% |
7078
9.45 KIPS |
|
|
Text Classification (Q)
|
93% |
8429
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5639
144.6 IPS |
