Samsung Galaxy S24
Geekbench AI Score
1987
Single Precision Score
2028
Half Precision Score
3041
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 03:06 PM |
| Views | 1 |
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-S921U1 |
| 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 | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (Q)
|
100% |
3263
606.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3887
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3302
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
5797
6.87 IPS |
|
|
Object Detection (SP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (HP)
|
98% |
1178
93.7 IPS |
|
|
Object Detection (Q)
|
83% |
1704
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4250
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2760
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5131
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8040
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7617
9.89 IPS |
|
|
Style Transfer (Q)
|
98% |
13839
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3506
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.3 IPS |
|
|
Text Classification (HP)
|
99% |
612
817.2 IPS |
|
|
Text Classification (Q)
|
88% |
888
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.0 IPS |
|
|
Machine Translation (Q)
|
50% |
575
20.4 IPS |
