Samsung Galaxy S24 Ultra
Geekbench AI Score
2106
Single Precision Score
2116
Half Precision Score
3235
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 08:07 AM |
| Views | 3 |
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% |
1669
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
1642
305.3 IPS |
|
|
Image Classification (Q)
|
100% |
2480
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2718
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3248
3.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
7482
8.87 IPS |
|
|
Object Detection (SP)
|
98% |
1591
126.7 IPS |
|
|
Object Detection (HP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
83% |
2312
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5095
60.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3101
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3116
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5162
47.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7914
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7983
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15037
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4718
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
685
914.4 IPS |
|
|
Text Classification (Q)
|
88% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
603
21.4 IPS |
