Samsung Galaxy S24 Ultra
Geekbench AI Score
986
Single Precision Score
1508
Half Precision Score
1530
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 12:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S9280 |
| 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% |
752
139.9 IPS |
|
|
Image Classification (HP)
|
100% |
951
176.9 IPS |
|
|
Image Classification (Q)
|
96% |
1148
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2429
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1757
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
794
62.9 IPS |
|
|
Object Detection (Q)
|
87% |
733
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
3153
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1383
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2766
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2437
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5044
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8746
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1136
42.1 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.4 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.5 IPS |
|
|
Text Classification (Q)
|
91% |
619
832.5 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
57% |
415
10.1 IPS |
