Samsung Galaxy S24 Ultra
Geekbench AI Score
1124
Single Precision Score
1690
Half Precision Score
1712
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dustink92 |
| Upload Date | January 31 2025 10:34 PM |
| Views | 8 |
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-S928U1 |
| 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% |
845
157.2 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.5 IPS |
|
|
Image Classification (Q)
|
96% |
1131
211.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1546
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
2286
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
87% |
975
78.3 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
3001
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1765
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3745
28.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3019
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6189
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
10112
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10062
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1382
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.9 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.1 IPS |
|
|
Text Classification (Q)
|
91% |
742
997.5 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
596
14.6 IPS |
