Samsung Galaxy S24 Ultra
Geekbench AI Score
2807
Single Precision Score
2818
Half Precision Score
4511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | saulmaz |
| Upload Date | April 16 2025 05:59 AM |
| Views | 5 |
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% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
2161
401.8 IPS |
|
|
Image Classification (Q)
|
100% |
3415
635.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4355
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
9909
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2014
160.2 IPS |
|
|
Object Detection (HP)
|
98% |
2211
175.9 IPS |
|
|
Object Detection (Q)
|
83% |
3507
283.2 IPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (Q)
|
95% |
7668
91.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4325
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4207
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7458
68.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9973
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10025
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19819
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5387
199.6 IPS |
|
|
Text Classification (SP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1342
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
50% |
825
29.3 IPS |
