Samsung Galaxy S24 Ultra
Geekbench AI Score
2466
Single Precision Score
2479
Half Precision Score
3612
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 02:05 PM |
| Views | 2 |
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-S928U |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (Q)
|
100% |
2887
536.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4188
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4181
4.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
7957
9.44 IPS |
|
|
Object Detection (SP)
|
98% |
1741
138.6 IPS |
|
|
Object Detection (HP)
|
98% |
1725
137.2 IPS |
|
|
Object Detection (Q)
|
83% |
2027
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5480
65.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3130
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3215
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5373
49.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8427
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8438
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16387
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1640
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4181
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1312
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
50% |
733
26.0 IPS |
