Samsung Galaxy S24
Geekbench AI Score
2600
Single Precision Score
2637
Half Precision Score
3954
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1818
338.0 IPS |
|
|
Image Classification (HP)
|
100% |
2163
402.2 IPS |
|
|
Image Classification (Q)
|
100% |
3170
589.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3894
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4084
4.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
9098
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
2032
161.7 IPS |
|
|
Object Detection (HP)
|
98% |
2013
160.2 IPS |
|
|
Object Detection (Q)
|
83% |
3158
255.1 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
6496
77.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4044
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4232
32.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6612
60.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10121
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9552
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18072
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4061
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
705
940.7 IPS |
|
|
Text Classification (HP)
|
99% |
722
963.8 IPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
776
27.5 IPS |
