Samsung Galaxy S24 Ultra
Geekbench AI Score
1158
Single Precision Score
1599
Half Precision Score
1572
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mihun70 |
| Upload Date | January 19 2025 09:36 AM |
| Views | 15 |
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-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% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
96% |
727
135.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2759
3.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
2742
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.6 IPS |
|
|
Object Detection (Q)
|
87% |
1125
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
1705
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3958
30.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3237
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7391
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
11877
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11769
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1352
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (HP)
|
100% |
460
614.1 IPS |
|
|
Text Classification (Q)
|
91% |
736
988.7 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
597
14.6 IPS |
