Samsung Galaxy S24 Ultra
Geekbench AI Score
521
Single Precision Score
523
Half Precision Score
1176
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 01:33 AM |
| Views | 4 |
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% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
99% |
842
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
565
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
2136
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
87% |
862
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
774
9.19 IPS |
|
|
Face Detection (Q)
|
97% |
1759
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
674
5.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1587
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1079
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1071
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2630
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1173
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.4 IPS |
|
|
Text Classification (HP)
|
100% |
468
624.7 IPS |
|
|
Text Classification (Q)
|
91% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
613
15.0 IPS |
