Samsung Galaxy S24 Ultra
Geekbench AI Score
1923
Single Precision Score
1990
Half Precision Score
3081
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bbc123456 |
| Upload Date | September 09 2025 03:38 PM |
| Views | 12 |
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-S9280 |
| 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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (Q)
|
100% |
3138
583.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3805
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
7175
8.51 IPS |
|
|
Object Detection (SP)
|
98% |
1182
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1162
92.4 IPS |
|
|
Object Detection (Q)
|
83% |
1599
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4433
52.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3035
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4554
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7190
9.33 IPS |
|
|
Style Transfer (HP)
|
89% |
7555
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14703
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3439
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.8 IPS |
|
|
Text Classification (HP)
|
99% |
623
831.6 IPS |
|
|
Text Classification (Q)
|
88% |
894
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
618
22.0 IPS |
