Samsung Galaxy S24 Ultra
Geekbench AI Score
1111
Single Precision Score
1655
Half Precision Score
1550
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | PC2025 |
| Upload Date | January 12 2025 11:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928W |
| 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% |
672
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.8 IPS |
|
|
Image Classification (Q)
|
96% |
653
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1057
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2745
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2722
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
87% |
753
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2613
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4200
32.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3292
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6883
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
11340
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10744
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1353
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.3 IPS |
|
|
Text Classification (HP)
|
100% |
461
614.7 IPS |
|
|
Text Classification (Q)
|
91% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
607
14.8 IPS |
