Samsung Galaxy S24 Ultra
Geekbench AI Score
2544
Single Precision Score
2508
Half Precision Score
3859
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 03:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.6 IPS |
|
|
Image Classification (Q)
|
100% |
3885
722.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4446
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4606
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4396
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
10151
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
2245
178.6 IPS |
|
|
Object Detection (HP)
|
98% |
1788
142.2 IPS |
|
|
Object Detection (Q)
|
83% |
2455
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
5418
64.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3271
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3295
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5884
53.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8855
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8491
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16157
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3992
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
696
928.9 IPS |
|
|
Text Classification (Q)
|
88% |
1135
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
50% |
730
25.9 IPS |
