Samsung Galaxy S24
Geekbench AI Score
2711
Single Precision Score
2680
Half Precision Score
4364
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 10 2025 03:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (Q)
|
100% |
3223
599.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4036
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4212
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4124
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
9247
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
2075
165.2 IPS |
|
|
Object Detection (HP)
|
98% |
2038
162.1 IPS |
|
|
Object Detection (Q)
|
83% |
3225
260.5 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4070
48.4 IPS |
|
|
Face Detection (Q)
|
95% |
7140
85.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3798
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3777
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6706
61.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9865
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10141
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20176
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5097
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1530
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
858
30.5 IPS |
