Samsung Galaxy S24 Ultra
Geekbench AI Score
1024
Single Precision Score
1574
Half Precision Score
1552
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | May 03 2025 10:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S9280 |
| 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% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
96% |
854
159.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1728
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2097
2.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
1932
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (HP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (Q)
|
87% |
848
68.1 IPS |
|
|
Face Detection (SP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (Q)
|
97% |
3424
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1553
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3275
25.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2631
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5385
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8236
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1133
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.8 IPS |
|
|
Text Classification (HP)
|
100% |
429
573.1 IPS |
|
|
Text Classification (Q)
|
91% |
713
958.1 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
561
13.7 IPS |
