Samsung Galaxy S24 Ultra
Geekbench AI Score
1120
Single Precision Score
1705
Half Precision Score
1640
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bjoernt |
| Upload Date | April 14 2025 02:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
736
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (Q)
|
96% |
666
124.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1642
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2260
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (Q)
|
87% |
986
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
2996
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1769
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3761
29.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3147
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6228
8.01 IPS |
|
|
Style Transfer (HP)
|
100% |
10139
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10044
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1395
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.4 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.8 IPS |
|
|
Text Classification (Q)
|
91% |
738
991.6 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
594
14.5 IPS |
