Samsung Galaxy S24 Ultra
Geekbench AI Score
1013
Single Precision Score
1579
Half Precision Score
1561
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 01:42 AM |
| Views | 1 |
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-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% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (Q)
|
96% |
651
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1506
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
2257
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.5 IPS |
|
|
Object Detection (Q)
|
87% |
757
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2848
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1793
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3964
30.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3256
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6876
8.84 IPS |
|
|
Style Transfer (HP)
|
100% |
11271
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9910
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1297
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.4 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (Q)
|
91% |
731
982.6 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
592
14.5 IPS |
