Samsung Galaxy S24 Ultra
Geekbench AI Score
2244
Single Precision Score
2168
Half Precision Score
3389
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 12:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (Q)
|
100% |
3655
679.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3934
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4059
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
7408
8.79 IPS |
|
|
Object Detection (SP)
|
98% |
1552
123.5 IPS |
|
|
Object Detection (HP)
|
98% |
1397
111.1 IPS |
|
|
Object Detection (Q)
|
83% |
2271
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
5069
60.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3184
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3158
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5017
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7915
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7626
9.90 IPS |
|
|
Style Transfer (Q)
|
98% |
14832
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3692
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
684
913.5 IPS |
|
|
Text Classification (HP)
|
99% |
684
913.4 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
