Samsung Galaxy S24
Geekbench AI Score
2114
Single Precision Score
2142
Half Precision Score
2975
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 06:07 AM |
| 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-S921N |
| 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% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
100% |
3226
599.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2850
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3655
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
6450
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
1353
107.7 IPS |
|
|
Object Detection (HP)
|
98% |
1359
108.1 IPS |
|
|
Object Detection (Q)
|
83% |
1906
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
4425
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3110
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3042
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4514
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7394
9.60 IPS |
|
|
Style Transfer (HP)
|
89% |
9759
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13502
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3127
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.2 IPS |
|
|
Text Classification (HP)
|
99% |
575
767.5 IPS |
|
|
Text Classification (Q)
|
88% |
919
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.1 IPS |
