Samsung Galaxy S24 Ultra
Geekbench AI Score
2163
Single Precision Score
2218
Half Precision Score
3360
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 12:28 AM |
| Views | 9 |
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% |
1720
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
100% |
3077
572.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3557
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
7756
9.20 IPS |
|
|
Object Detection (SP)
|
98% |
1362
108.4 IPS |
|
|
Object Detection (HP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (Q)
|
83% |
2274
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
5028
60.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3246
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3131
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5123
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7847
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7870
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15048
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3761
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.7 IPS |
|
|
Text Classification (HP)
|
99% |
683
911.7 IPS |
|
|
Text Classification (Q)
|
88% |
1043
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
625
22.2 IPS |
