Samsung Galaxy S24+
Geekbench AI Score
3523
Single Precision Score
25011
Half Precision Score
47063
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 09:35 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% |
1613
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
17093
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
33228
6.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12332
200.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
27891
453.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14660
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
86777
101.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
300600
352.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
14019
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23976
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4937
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
40228
478.0 IPS |
|
|
Face Detection (Q)
|
97% |
101775
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5501
42.4 IPS |
|
|
Depth Estimation (HP)
|
79% |
56244
446.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
104980
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
29097
37.4 IPS |
|
|
Style Transfer (HP)
|
99% |
174056
223.8 IPS |
|
|
Style Transfer (Q)
|
98% |
272479
351.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22831
860.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59120
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
637
850.8 IPS |
|
|
Text Classification (HP)
|
100% |
6876
9.18 KIPS |
|
|
Text Classification (Q)
|
93% |
8165
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6044
104.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5680
145.7 IPS |
