Samsung Galaxy S24
Geekbench AI Score
324
Single Precision Score
344
Half Precision Score
1069
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
99% |
783
146.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
2073
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
87% |
827
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.17 IPS |
|
|
Face Detection (Q)
|
97% |
1692
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
596
4.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
599
4.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1459
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
947
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
869
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2117
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1063
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.4 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.9 IPS |
|
|
Text Classification (Q)
|
91% |
633
851.4 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
513
12.5 IPS |
