Samsung Galaxy S24+
Geekbench AI Score
3533
Single Precision Score
25107
Half Precision Score
47145
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 10:07 PM |
| 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% |
1607
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
17174
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32617
6.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12688
206.4 IPS |
|
|
Image Segmentation (Q)
|
96% |
28627
465.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14551
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87149
101.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
303076
354.9 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
14069
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23573
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5056
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
39525
469.6 IPS |
|
|
Face Detection (Q)
|
97% |
101574
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5587
43.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56798
451.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
106672
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29293
37.7 IPS |
|
|
Style Transfer (HP)
|
99% |
174339
224.1 IPS |
|
|
Style Transfer (Q)
|
98% |
276055
356.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4188
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22888
861.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59087
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
615
820.3 IPS |
|
|
Text Classification (HP)
|
100% |
6838
9.13 KIPS |
|
|
Text Classification (Q)
|
93% |
8190
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6083
104.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5618
144.1 IPS |
