Samsung Galaxy S24+
Geekbench AI Score
936
Single Precision Score
1508
Half Precision Score
1512
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | NuttyLemonz |
| Upload Date | November 27 2024 06:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926U1 |
| 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% |
710
132.0 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.1 IPS |
|
|
Image Classification (Q)
|
96% |
1084
202.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2044
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1915
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
859
68.1 IPS |
|
|
Object Detection (Q)
|
87% |
878
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
3115
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1472
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2398
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4971
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
8225
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8118
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1062
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
346
462.4 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.0 IPS |
|
|
Text Classification (Q)
|
91% |
561
754.5 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
57% |
465
11.4 IPS |
