Samsung Galaxy S24
Geekbench AI Score
2145
Single Precision Score
2110
Half Precision Score
3006
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:30 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% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (Q)
|
100% |
3082
573.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3524
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3985
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3050
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6395
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1528
121.6 IPS |
|
|
Object Detection (HP)
|
98% |
1359
108.1 IPS |
|
|
Object Detection (Q)
|
83% |
1902
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4453
53.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2991
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4514
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7275
9.44 IPS |
|
|
Style Transfer (HP)
|
89% |
7390
9.59 IPS |
|
|
Style Transfer (Q)
|
98% |
13350
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3204
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.8 IPS |
|
|
Text Classification (HP)
|
99% |
594
793.5 IPS |
|
|
Text Classification (Q)
|
88% |
880
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.4 IPS |
