Samsung Galaxy S24+
Geekbench AI Score
3511
Single Precision Score
25019
Half Precision Score
46966
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 11:51 AM |
| Views | 3 |
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% |
1579
293.6 IPS |
|
|
Image Classification (HP)
|
100% |
17127
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32768
6.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12126
197.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28020
456.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15073
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87267
101.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
300629
352.0 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
13990
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24176
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
40485
481.0 IPS |
|
|
Face Detection (Q)
|
97% |
101536
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5575
43.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56671
450.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
105187
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
28891
37.1 IPS |
|
|
Style Transfer (HP)
|
99% |
170814
219.6 IPS |
|
|
Style Transfer (Q)
|
98% |
266091
343.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22792
858.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59524
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
636
849.6 IPS |
|
|
Text Classification (HP)
|
100% |
6863
9.16 KIPS |
|
|
Text Classification (Q)
|
93% |
8155
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5673
145.5 IPS |
