Samsung Galaxy S24 Ultra
Geekbench AI Score
523
Single Precision Score
523
Half Precision Score
1179
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 17 2025 12:25 AM |
| Views | 7 |
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% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
99% |
853
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
2151
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
87% |
867
69.5 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
773
9.19 IPS |
|
|
Face Detection (Q)
|
97% |
1798
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
677
5.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1577
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1067
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2645
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
356
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1161
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.9 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.3 IPS |
|
|
Text Classification (Q)
|
91% |
742
997.2 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
605
14.8 IPS |
