Samsung Galaxy S24+
Geekbench AI Score
3533
Single Precision Score
25118
Half Precision Score
47037
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 07:01 AM |
| Views | 2 |
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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
17051
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32374
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3032
49.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12680
206.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28626
465.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14769
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87037
101.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
303086
354.9 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
14005
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23530
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5113
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
39593
470.5 IPS |
|
|
Face Detection (Q)
|
97% |
101468
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5605
43.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56803
451.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
106479
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29151
37.5 IPS |
|
|
Style Transfer (HP)
|
99% |
171807
220.9 IPS |
|
|
Style Transfer (Q)
|
98% |
271542
350.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4150
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
84% |
22921
861.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58675
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
608
812.2 IPS |
|
|
Text Classification (HP)
|
100% |
6897
9.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8200
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5683
145.8 IPS |
