Samsung Galaxy S24 Ultra
Geekbench AI Score
2716
Single Precision Score
2818
Half Precision Score
4374
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 03:24 PM |
| Views | 4 |
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-S928U1 |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (Q)
|
100% |
3891
723.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4400
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4622
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4462
5.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
10235
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2277
181.2 IPS |
|
|
Object Detection (HP)
|
98% |
2314
184.1 IPS |
|
|
Object Detection (Q)
|
83% |
3491
282.0 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (Q)
|
95% |
7868
93.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3634
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3646
28.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5892
54.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8472
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9168
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17486
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4729
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1325
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
50% |
826
29.3 IPS |
