Samsung Galaxy S24+
Geekbench AI Score
3528
Single Precision Score
24988
Half Precision Score
46729
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 09:41 AM |
| Views | 3 |
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-S926B |
| 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 | 6.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
16956
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
32331
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12324
200.5 IPS |
|
|
Image Segmentation (Q)
|
96% |
28610
465.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14586
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
88323
103.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
302926
354.7 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
14070
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23403
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
39819
473.1 IPS |
|
|
Face Detection (Q)
|
97% |
101215
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5556
42.8 IPS |
|
|
Depth Estimation (HP)
|
79% |
56936
452.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
106428
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29370
37.8 IPS |
|
|
Style Transfer (HP)
|
99% |
172274
221.5 IPS |
|
|
Style Transfer (Q)
|
98% |
268841
346.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22929
863.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58781
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
605
808.1 IPS |
|
|
Text Classification (HP)
|
100% |
6784
9.06 KIPS |
|
|
Text Classification (Q)
|
93% |
8052
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6016
103.6 IPS |
|
|
Machine Translation (Q)
|
56% |
5524
141.7 IPS |
