Samsung Galaxy S24 Ultra
Geekbench AI Score
436
Single Precision Score
427
Half Precision Score
939
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
306
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
99% |
801
149.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1525
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
87% |
668
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (Q)
|
97% |
1398
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1134
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
796
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
1938
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
965
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.3 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.2 IPS |
|
|
Text Classification (Q)
|
91% |
574
771.4 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
491
12.0 IPS |
