Samsung Galaxy S24 Ultra
Geekbench AI Score
2093
Single Precision Score
2005
Half Precision Score
2849
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | February 06 2025 10:34 PM |
| Views | 2 |
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-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% |
2305
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (Q)
|
100% |
2494
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3911
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3721
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6170
7.32 IPS |
|
|
Object Detection (SP)
|
98% |
1387
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1375
109.4 IPS |
|
|
Object Detection (Q)
|
83% |
1770
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (Q)
|
95% |
4236
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2792
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2769
21.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4356
39.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6796
8.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6779
8.80 IPS |
|
|
Style Transfer (Q)
|
98% |
12472
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3124
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.9 IPS |
|
|
Text Classification (HP)
|
99% |
586
782.0 IPS |
|
|
Text Classification (Q)
|
88% |
829
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
