Samsung Galaxy S24 Ultra
Geekbench AI Score
1092
Single Precision Score
1623
Half Precision Score
1490
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | September 23 2024 07:41 PM |
| Views | 4 |
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-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% |
603
112.2 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
96% |
639
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1082
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2175
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
2022
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.1 IPS |
|
|
Object Detection (HP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
87% |
718
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
2711
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1844
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3974
30.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3253
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7329
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
11297
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
10632
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1330
49.3 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.4 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.0 IPS |
|
|
Text Classification (Q)
|
91% |
733
985.8 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
591
14.4 IPS |
