Samsung Galaxy S24 Ultra
Geekbench AI Score
2144
Single Precision Score
2114
Half Precision Score
3153
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cwebb15 |
| Upload Date | February 26 2025 11:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1826
339.6 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
100% |
3151
586.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3955
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
7500
8.90 IPS |
|
|
Object Detection (SP)
|
98% |
1637
130.3 IPS |
|
|
Object Detection (HP)
|
98% |
1623
129.2 IPS |
|
|
Object Detection (Q)
|
83% |
2103
169.9 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
2971
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4898
58.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3217
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3344
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5227
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7999
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
6757
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
12819
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3140
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.8 IPS |
|
|
Text Classification (HP)
|
99% |
576
768.2 IPS |
|
|
Text Classification (Q)
|
88% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
581
20.6 IPS |
