Samsung Galaxy S24 Ultra
Geekbench AI Score
2954
Single Precision Score
2918
Half Precision Score
4754
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | OneZeroTwo |
| Upload Date | October 02 2025 11:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (Q)
|
100% |
3850
715.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2785
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4252
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4619
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4377
5.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
10430
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
2198
174.9 IPS |
|
|
Object Detection (HP)
|
98% |
2244
178.5 IPS |
|
|
Object Detection (Q)
|
83% |
3167
255.8 IPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (Q)
|
95% |
7867
93.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4327
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4263
32.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7480
68.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10957
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10731
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21342
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5542
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
99% |
1075
1.43 KIPS |
|
|
Text Classification (Q)
|
88% |
1664
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (Q)
|
50% |
943
33.5 IPS |
