Samsung Galaxy S24 Ultra
Geekbench AI Score
2193
Single Precision Score
2276
Half Precision Score
3299
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | markman |
| Upload Date | June 08 2025 12:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
2152
400.2 IPS |
|
|
Image Classification (Q)
|
100% |
2220
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4095
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4036
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
8024
9.52 IPS |
|
|
Object Detection (SP)
|
98% |
1705
135.7 IPS |
|
|
Object Detection (HP)
|
98% |
1663
132.4 IPS |
|
|
Object Detection (Q)
|
83% |
2039
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5010
59.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2979
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5129
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7745
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8018
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15591
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3764
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.3 IPS |
|
|
Text Classification (HP)
|
99% |
698
932.1 IPS |
|
|
Text Classification (Q)
|
88% |
1082
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
630
22.4 IPS |
