Samsung Galaxy S24+
Geekbench AI Score
3461
Single Precision Score
25039
Half Precision Score
46902
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 04:10 AM |
| Views | 1 |
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-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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
17075
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
32618
6.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
12266
199.5 IPS |
|
|
Image Segmentation (Q)
|
96% |
27787
452.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13928
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87308
101.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
301652
353.2 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
14134
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23379
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
39627
470.9 IPS |
|
|
Face Detection (Q)
|
97% |
101044
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5601
43.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
55881
443.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
105980
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
28606
36.8 IPS |
|
|
Style Transfer (HP)
|
99% |
173076
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
271961
350.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22790
857.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59180
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
657
876.6 IPS |
|
|
Text Classification (HP)
|
100% |
7075
9.44 KIPS |
|
|
Text Classification (Q)
|
93% |
8368
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6066
104.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5589
143.4 IPS |
