Samsung Galaxy S24 Ultra
Geekbench AI Score
2974
Single Precision Score
3036
Half Precision Score
4834
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 11:12 PM |
| Views | 2 |
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% |
2378
442.3 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
100% |
3880
721.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2737
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4437
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4670
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4542
5.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
10291
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
2011
160.1 IPS |
|
|
Object Detection (HP)
|
98% |
2336
185.9 IPS |
|
|
Object Detection (Q)
|
83% |
3601
290.9 IPS |
|
|
Face Detection (SP)
|
100% |
4382
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (Q)
|
95% |
8046
96.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4260
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4288
33.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7530
69.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11123
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11021
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20807
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2219
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5236
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1725
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1849
31.9 IPS |
|
|
Machine Translation (Q)
|
50% |
960
34.1 IPS |
