Samsung Galaxy S24+
Geekbench AI Score
2605
Single Precision Score
2580
Half Precision Score
3922
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 01:24 AM |
| 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% |
2414
448.9 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
100% |
3251
604.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2618
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4323
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4094
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
9524
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1891
150.5 IPS |
|
|
Object Detection (HP)
|
98% |
1975
157.2 IPS |
|
|
Object Detection (Q)
|
83% |
2946
238.0 IPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
95% |
6274
74.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4003
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3978
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6334
58.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9446
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8952
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16246
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4032
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
694
925.8 IPS |
|
|
Text Classification (HP)
|
99% |
695
928.1 IPS |
|
|
Text Classification (Q)
|
88% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
720
25.6 IPS |
