Samsung Galaxy S24 Ultra
Geekbench AI Score
1044
Single Precision Score
1717
Half Precision Score
1617
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 04:54 AM |
| Views | 1 |
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-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% |
586
109.0 IPS |
|
|
Image Classification (HP)
|
100% |
929
172.8 IPS |
|
|
Image Classification (Q)
|
96% |
948
177.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1936
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2123
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
87% |
808
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
1888
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1799
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3265
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6594
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
10819
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10687
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1322
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.4 IPS |
|
|
Text Classification (HP)
|
100% |
459
612.2 IPS |
|
|
Text Classification (Q)
|
91% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
597
14.6 IPS |
