Samsung Galaxy S24+
Geekbench AI Score
1097
Single Precision Score
1841
Half Precision Score
1774
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | NuttyLemonz |
| Upload Date | November 27 2024 06:31 PM |
| Views | 6 |
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% |
954
177.3 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
96% |
1151
214.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2678
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
2622
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (Q)
|
87% |
1048
84.1 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
4709
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
4113
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2745
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2259
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4709
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
8164
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8205
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1334
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.6 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.7 IPS |
|
|
Text Classification (Q)
|
91% |
715
960.8 IPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
564
13.8 IPS |
