Samsung Galaxy S24 Ultra
Geekbench AI Score
2349
Single Precision Score
2361
Half Precision Score
3441
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:04 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-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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (Q)
|
100% |
3508
652.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3952
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4453
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
7541
8.94 IPS |
|
|
Object Detection (SP)
|
98% |
1648
131.1 IPS |
|
|
Object Detection (HP)
|
98% |
1662
132.3 IPS |
|
|
Object Detection (Q)
|
83% |
2140
172.8 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
5210
62.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3189
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5295
48.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8150
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8179
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15022
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3748
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.0 IPS |
|
|
Text Classification (HP)
|
99% |
698
931.7 IPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
