Samsung Galaxy S24+
Geekbench AI Score
2973
Single Precision Score
2973
Half Precision Score
4698
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926U |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2486
462.2 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.7 IPS |
|
|
Image Classification (Q)
|
100% |
3547
659.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4410
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4370
5.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
10299
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
2156
171.6 IPS |
|
|
Object Detection (HP)
|
98% |
2223
176.9 IPS |
|
|
Object Detection (Q)
|
83% |
3216
259.8 IPS |
|
|
Face Detection (SP)
|
100% |
4412
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (Q)
|
95% |
7888
94.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4059
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3968
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7415
67.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10843
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10553
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21133
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5604
207.6 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
88% |
1499
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
50% |
974
34.6 IPS |
