Samsung Galaxy S24
Geekbench AI Score
417
Single Precision Score
405
Half Precision Score
898
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
774
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1605
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
87% |
659
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.16 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.22 IPS |
|
|
Face Detection (Q)
|
97% |
1342
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
490
3.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1050
9.53 IPS |
|
|
Style Transfer (SP)
|
100% |
771
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1957
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
860
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.6 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.7 IPS |
|
|
Text Classification (Q)
|
91% |
543
729.8 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
57% |
418
10.2 IPS |
