Samsung Galaxy S24 Ultra
Geekbench AI Score
1579
Single Precision Score
1820
Half Precision Score
2616
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | AcNico |
| Upload Date | August 19 2025 05:17 PM |
| Views | 9 |
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% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (Q)
|
100% |
2727
507.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3005
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2475
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3198
3.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
6200
7.35 IPS |
|
|
Object Detection (SP)
|
98% |
1285
102.3 IPS |
|
|
Object Detection (HP)
|
98% |
1364
108.6 IPS |
|
|
Object Detection (Q)
|
83% |
2118
171.1 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (Q)
|
95% |
3808
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1897
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2706
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3753
34.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3402
4.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6024
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6527
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3087
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
474
633.0 IPS |
|
|
Text Classification (HP)
|
99% |
581
775.3 IPS |
|
|
Text Classification (Q)
|
88% |
829
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
