Samsung Galaxy S24
Geekbench AI Score
2270
Single Precision Score
2337
Half Precision Score
3439
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 06:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
2308
429.3 IPS |
|
|
Image Classification (Q)
|
100% |
3485
648.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4348
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3979
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3891
4.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
7890
9.36 IPS |
|
|
Object Detection (SP)
|
98% |
1729
137.6 IPS |
|
|
Object Detection (HP)
|
98% |
1686
134.2 IPS |
|
|
Object Detection (Q)
|
83% |
2424
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (Q)
|
95% |
5186
61.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3500
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3347
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5384
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8330
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8410
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14203
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3425
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
645
861.0 IPS |
|
|
Text Classification (HP)
|
99% |
673
898.7 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
609
21.6 IPS |
