Samsung Galaxy S24 Ultra
Geekbench AI Score
2319
Single Precision Score
2278
Half Precision Score
3451
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 02:53 PM |
| Views | 1 |
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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
2338
434.8 IPS |
|
|
Image Classification (Q)
|
100% |
3775
701.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3895
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4246
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
7475
8.87 IPS |
|
|
Object Detection (SP)
|
98% |
1571
125.0 IPS |
|
|
Object Detection (HP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
83% |
2318
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
5076
60.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3168
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3169
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5167
47.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7897
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7912
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14990
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3782
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.8 IPS |
|
|
Text Classification (HP)
|
99% |
686
915.1 IPS |
|
|
Text Classification (Q)
|
88% |
960
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
