Samsung Galaxy S24
Geekbench AI Score
2186
Single Precision Score
2210
Half Precision Score
3124
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 03:36 AM |
| Views | 2 |
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% |
2255
419.4 IPS |
|
|
Image Classification (HP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (Q)
|
100% |
3316
616.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3950
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4108
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3904
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6323
7.50 IPS |
|
|
Object Detection (SP)
|
98% |
1455
115.8 IPS |
|
|
Object Detection (HP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (Q)
|
83% |
2061
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5105
60.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3208
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3265
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4835
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7519
9.76 IPS |
|
|
Style Transfer (HP)
|
89% |
7460
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
13329
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3197
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.2 IPS |
|
|
Text Classification (HP)
|
99% |
563
751.3 IPS |
|
|
Text Classification (Q)
|
88% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
623
22.1 IPS |
