Samsung Galaxy S24 Ultra
Geekbench AI Score
1996
Single Precision Score
2113
Half Precision Score
3236
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1059
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
100% |
2814
523.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3116
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
7319
8.68 IPS |
|
|
Object Detection (SP)
|
98% |
1600
127.3 IPS |
|
|
Object Detection (HP)
|
98% |
1611
128.2 IPS |
|
|
Object Detection (Q)
|
83% |
2090
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
5073
60.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2943
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3098
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5096
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7864
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7536
9.78 IPS |
|
|
Style Transfer (Q)
|
98% |
14735
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3808
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
686
915.7 IPS |
|
|
Text Classification (HP)
|
99% |
695
927.0 IPS |
|
|
Text Classification (Q)
|
88% |
978
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
663
23.5 IPS |
