Samsung Galaxy S24 Ultra
Geekbench AI Score
1134
Single Precision Score
1583
Half Precision Score
1712
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 04:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U1 |
| 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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2148
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1122
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2572
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2542
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
693
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
87% |
1107
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
2720
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1902
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3928
30.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3249
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6704
8.62 IPS |
|
|
Style Transfer (HP)
|
100% |
10778
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10708
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1373
50.9 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.7 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.5 IPS |
|
|
Text Classification (Q)
|
91% |
739
992.7 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
600
14.7 IPS |
