Samsung Galaxy S24
Geekbench AI Score
302
Single Precision Score
314
Half Precision Score
1024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.2 IPS |
|
|
Image Classification (Q)
|
99% |
735
137.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1937
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
87% |
790
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (Q)
|
97% |
1600
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1133
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
864
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2183
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1141
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1068
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.1 IPS |
|
|
Text Classification (HP)
|
100% |
418
557.3 IPS |
|
|
Text Classification (Q)
|
91% |
656
881.7 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
