Samsung Galaxy S24 Ultra
Geekbench AI Score
509
Single Precision Score
503
Half Precision Score
1122
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 03:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| 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% |
314
58.5 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.3 IPS |
|
|
Image Classification (Q)
|
99% |
824
153.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
812
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2037
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
87% |
853
68.4 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (Q)
|
97% |
1802
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1463
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1024
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1004
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2510
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1114
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.1 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.3 IPS |
|
|
Text Classification (Q)
|
91% |
657
883.2 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
566
13.8 IPS |
