Samsung Galaxy S24 Ultra
Geekbench AI Score
3008
Single Precision Score
2983
Half Precision Score
4846
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 02:14 PM |
| Views | 7 |
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% |
2225
413.8 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (Q)
|
100% |
3898
724.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4418
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4697
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4549
5.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
10187
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2283
181.7 IPS |
|
|
Object Detection (HP)
|
98% |
2326
185.1 IPS |
|
|
Object Detection (Q)
|
83% |
3581
289.3 IPS |
|
|
Face Detection (SP)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
7950
94.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4128
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4231
32.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7368
67.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11188
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10862
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21251
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5533
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1693
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (Q)
|
50% |
977
34.7 IPS |
