Samsung Galaxy S24 Ultra
Geekbench AI Score
492
Single Precision Score
492
Half Precision Score
1124
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 10:00 AM |
| Views | 3 |
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 Ultra |
| Model ID | samsung SM-S928B |
| 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% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
99% |
792
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1964
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (Q)
|
87% |
831
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.67 IPS |
|
|
Face Detection (Q)
|
97% |
1733
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
648
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1511
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1010
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2554
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1129
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.0 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.2 IPS |
|
|
Text Classification (Q)
|
91% |
723
971.9 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
586
14.3 IPS |
