Samsung Galaxy S24
Geekbench AI Score
2138
Single Precision Score
2174
Half Precision Score
3118
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:04 AM |
| 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% |
1769
329.1 IPS |
|
|
Image Classification (HP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (Q)
|
100% |
3214
597.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3909
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
6493
7.70 IPS |
|
|
Object Detection (SP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (HP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (Q)
|
83% |
2127
171.8 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
4442
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3131
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4540
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7571
9.83 IPS |
|
|
Style Transfer (HP)
|
89% |
7517
9.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13571
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1559
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3259
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
559
745.9 IPS |
|
|
Text Classification (HP)
|
99% |
595
793.6 IPS |
|
|
Text Classification (Q)
|
88% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.1 IPS |
