Samsung Galaxy S24 Ultra
Geekbench AI Score
2544
Single Precision Score
2540
Half Precision Score
3894
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bjoernt |
| Upload Date | April 14 2025 02:24 AM |
| 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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2393
445.0 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (Q)
|
100% |
3488
648.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4458
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4407
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
9922
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2171
172.8 IPS |
|
|
Object Detection (HP)
|
98% |
2169
172.6 IPS |
|
|
Object Detection (Q)
|
83% |
3438
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
5244
62.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3414
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3294
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5453
49.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8415
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8445
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16030
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3906
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.1 IPS |
|
|
Text Classification (HP)
|
99% |
687
917.3 IPS |
|
|
Text Classification (Q)
|
88% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
807
28.6 IPS |
