Samsung Galaxy S24 Ultra
Geekbench AI Score
2591
Single Precision Score
2574
Half Precision Score
3839
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 27 2025 08:03 AM |
| Views | 2 |
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-S928B |
| 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% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
100% |
3378
628.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4159
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4398
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4161
4.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
8122
9.63 IPS |
|
|
Object Detection (SP)
|
98% |
1726
137.4 IPS |
|
|
Object Detection (HP)
|
98% |
1760
140.1 IPS |
|
|
Object Detection (Q)
|
83% |
2279
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (Q)
|
95% |
6548
78.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3972
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3840
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6441
59.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9496
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9158
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17595
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4144
153.5 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1176
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
740
26.3 IPS |
