Samsung Galaxy S24 Ultra [A15] Samsung Galaxy S24 Ultra
Geekbench AI Score
1112
Single Precision Score
1759
Half Precision Score
1599
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | NienorGT |
| Upload Date | May 01 2025 02:34 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-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% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.2 IPS |
|
|
Image Classification (Q)
|
96% |
651
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
2497
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (Q)
|
87% |
840
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
2999
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1892
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3977
30.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3289
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6574
8.45 IPS |
|
|
Style Transfer (HP)
|
100% |
10786
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10687
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1368
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.7 IPS |
|
|
Text Classification (HP)
|
100% |
464
618.8 IPS |
|
|
Text Classification (Q)
|
91% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
610
14.9 IPS |
