Samsung Galaxy S24 Ultra
Geekbench AI Score
1115
Single Precision Score
1649
Half Precision Score
1563
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 05:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
703
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
96% |
561
104.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2570
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
87% |
1008
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3819
29.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3175
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7387
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
11350
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10724
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1352
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
448
597.6 IPS |
|
|
Text Classification (HP)
|
100% |
451
602.2 IPS |
|
|
Text Classification (Q)
|
91% |
733
985.1 IPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
594
14.5 IPS |
