Samsung Galaxy S24 Ultra
Geekbench AI Score
744
Single Precision Score
1238
Half Precision Score
1248
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | February 06 2025 10:40 PM |
| Views | 2 |
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% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (Q)
|
96% |
621
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1066
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.2 IPS |
|
|
Object Detection (Q)
|
87% |
537
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
2233
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1344
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2685
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2578
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5743
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
9351
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8673
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.9 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.7 IPS |
|
|
Text Classification (Q)
|
91% |
709
952.4 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
559
13.7 IPS |
