Samsung Galaxy S24+
Geekbench AI Score
3541
Single Precision Score
25037
Half Precision Score
46988
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 10 2024 01:00 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% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
17079
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
33122
6.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12279
199.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28319
460.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14914
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
88228
102.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
300437
351.8 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
13982
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23740
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5062
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
39975
475.0 IPS |
|
|
Face Detection (Q)
|
97% |
101241
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5561
42.8 IPS |
|
|
Depth Estimation (HP)
|
79% |
56746
450.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
105992
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
28906
37.2 IPS |
|
|
Style Transfer (HP)
|
99% |
172209
221.4 IPS |
|
|
Style Transfer (Q)
|
98% |
269236
347.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22709
855.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59150
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
631
841.6 IPS |
|
|
Text Classification (HP)
|
100% |
6809
9.09 KIPS |
|
|
Text Classification (Q)
|
93% |
8128
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6196
106.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5646
144.8 IPS |
