Samsung Galaxy S24 Ultra
Geekbench AI Score
1162
Single Precision Score
1726
Half Precision Score
1630
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 06:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
677
126.0 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (Q)
|
96% |
637
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1229
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2556
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2519
2.95 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
920
72.9 IPS |
|
|
Object Detection (Q)
|
87% |
1119
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2741
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4045
31.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3292
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6631
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
11008
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10831
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1352
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.9 IPS |
|
|
Text Classification (Q)
|
91% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
607
14.8 IPS |
