Samsung Galaxy S24+
Geekbench AI Score
2172
Single Precision Score
2399
Half Precision Score
3470
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (Q)
|
100% |
1752
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3533
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3612
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3579
4.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
8308
9.85 IPS |
|
|
Object Detection (SP)
|
98% |
1684
134.0 IPS |
|
|
Object Detection (HP)
|
98% |
1643
130.8 IPS |
|
|
Object Detection (Q)
|
83% |
2094
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.6 IPS |
|
|
Face Detection (Q)
|
95% |
5708
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3237
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3415
26.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5779
52.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8550
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8497
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13559
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4974
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
1399
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
757
26.9 IPS |
