Samsung Galaxy S24+
Geekbench AI Score
3546
Single Precision Score
25060
Half Precision Score
47108
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 06:46 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% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
17053
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32371
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12354
201.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
28621
465.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14801
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87067
101.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
303453
355.4 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
14019
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23663
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5055
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
40284
478.7 IPS |
|
|
Face Detection (Q)
|
97% |
101193
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56819
451.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
106823
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
28952
37.2 IPS |
|
|
Style Transfer (HP)
|
99% |
172169
221.3 IPS |
|
|
Style Transfer (Q)
|
98% |
273557
352.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22985
864.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59051
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
633
845.0 IPS |
|
|
Text Classification (HP)
|
100% |
6812
9.09 KIPS |
|
|
Text Classification (Q)
|
93% |
8199
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6158
106.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5651
144.9 IPS |
