Samsung Galaxy S24 Ultra
Geekbench AI Score
2758
Single Precision Score
2779
Half Precision Score
4216
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 03:11 PM |
| Views | 5 |
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% |
2482
461.6 IPS |
|
|
Image Classification (HP)
|
100% |
2456
456.8 IPS |
|
|
Image Classification (Q)
|
100% |
3881
721.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4626
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4451
5.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
10096
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
2268
180.5 IPS |
|
|
Object Detection (HP)
|
98% |
2322
184.8 IPS |
|
|
Object Detection (Q)
|
83% |
3202
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
4429
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (Q)
|
95% |
7885
94.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3347
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3257
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5452
49.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8526
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9219
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17455
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4452
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1125
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (Q)
|
50% |
842
29.9 IPS |
