Samsung Galaxy S24 Ultra
Geekbench AI Score
450
Single Precision Score
446
Half Precision Score
955
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 09 2025 10:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
312
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (Q)
|
99% |
805
150.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
1866
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
719
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (Q)
|
97% |
1492
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
570
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
541
4.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1174
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
844
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
829
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
1973
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
909
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.4 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.2 IPS |
|
|
Text Classification (Q)
|
91% |
561
753.9 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
57% |
415
10.1 IPS |
