Samsung Galaxy S24 Ultra
Geekbench AI Score
2244
Single Precision Score
2233
Half Precision Score
3292
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | leleletus |
| Upload Date | August 17 2024 04:23 PM |
| Views | 14 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
1973
366.8 IPS |
|
|
Image Classification (Q)
|
100% |
3786
704.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4186
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5756
6.83 IPS |
|
|
Object Detection (SP)
|
98% |
1548
123.2 IPS |
|
|
Object Detection (HP)
|
98% |
1532
121.9 IPS |
|
|
Object Detection (Q)
|
87% |
2096
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
5058
60.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
3002
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3169
24.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
5657
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7896
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7864
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14350
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3768
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.9 IPS |
|
|
Text Classification (HP)
|
99% |
676
902.9 IPS |
|
|
Text Classification (Q)
|
88% |
707
953.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
716
25.4 IPS |
