Samsung Galaxy S24 Ultra
Geekbench AI Score
1011
Single Precision Score
1637
Half Precision Score
1446
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | September 04 2024 01:11 PM |
| Views | 3 |
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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
1084
201.5 IPS |
|
|
Image Classification (Q)
|
99% |
664
123.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1924
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
89% |
810
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
3615
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1474
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2932
22.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
2724
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4991
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
8219
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8150
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1084
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.5 IPS |
|
|
Text Classification (HP)
|
100% |
443
590.7 IPS |
|
|
Text Classification (Q)
|
91% |
720
968.1 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
569
13.9 IPS |
