Samsung Galaxy S24+
Geekbench AI Score
3539
Single Precision Score
24901
Half Precision Score
46511
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:25 PM |
| Views | 1 |
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-S926N |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
16261
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
32392
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3043
49.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12602
205.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
28331
461.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14805
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87443
102.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
302700
354.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
13951
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21462
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
4927
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
39854
473.6 IPS |
|
|
Face Detection (Q)
|
97% |
99279
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5750
44.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
56422
448.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
105256
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
29043
37.3 IPS |
|
|
Style Transfer (HP)
|
99% |
170610
219.3 IPS |
|
|
Style Transfer (Q)
|
98% |
271435
350.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4102
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22717
855.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59551
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
630
840.7 IPS |
|
|
Text Classification (HP)
|
100% |
6992
9.33 KIPS |
|
|
Text Classification (Q)
|
93% |
8477
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6017
103.6 IPS |
|
|
Machine Translation (Q)
|
56% |
5550
142.4 IPS |
