Samsung Galaxy S24+
Geekbench AI Score
3527
Single Precision Score
25018
Half Precision Score
47126
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 10:27 AM |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
17075
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
32922
6.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12333
200.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
28601
465.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14603
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
86721
101.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
301082
352.6 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
14043
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23963
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
40352
479.5 IPS |
|
|
Face Detection (Q)
|
97% |
101537
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
79% |
56796
451.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
104873
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
29272
37.6 IPS |
|
|
Style Transfer (HP)
|
99% |
171825
220.9 IPS |
|
|
Style Transfer (Q)
|
98% |
272338
351.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22664
855.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59655
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
656
876.0 IPS |
|
|
Text Classification (HP)
|
100% |
6829
9.11 KIPS |
|
|
Text Classification (Q)
|
93% |
8208
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6147
105.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5601
143.7 IPS |
