Samsung Galaxy S24+
Geekbench AI Score
3547
Single Precision Score
25107
Half Precision Score
46479
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 10 2024 01:21 PM |
| Views | 2 |
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 | 10.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
17006
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
33045
6.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
97% |
12617
205.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28542
464.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14824
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87003
101.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
300701
352.1 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
14018
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
20990
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
40240
478.1 IPS |
|
|
Face Detection (Q)
|
97% |
101604
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5615
43.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
56537
449.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
105897
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29510
37.9 IPS |
|
|
Style Transfer (HP)
|
99% |
174426
224.2 IPS |
|
|
Style Transfer (Q)
|
98% |
273157
352.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22699
856.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59190
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
660
881.6 IPS |
|
|
Text Classification (HP)
|
100% |
6894
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8211
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5534
142.0 IPS |
