Samsung Galaxy S24+
Geekbench AI Score
2119
Single Precision Score
2114
Half Precision Score
3212
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 04:34 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-S9260 |
| 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% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
1659
308.5 IPS |
|
|
Image Classification (Q)
|
100% |
2584
480.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3179
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
7678
9.11 IPS |
|
|
Object Detection (SP)
|
98% |
1535
122.2 IPS |
|
|
Object Detection (HP)
|
98% |
1568
124.8 IPS |
|
|
Object Detection (Q)
|
83% |
2093
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
5098
60.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2975
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5048
46.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7569
9.83 IPS |
|
|
Style Transfer (HP)
|
89% |
7699
9.99 IPS |
|
|
Style Transfer (Q)
|
98% |
14858
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3651
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.3 IPS |
|
|
Text Classification (HP)
|
99% |
646
861.9 IPS |
|
|
Text Classification (Q)
|
88% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
648
23.0 IPS |
