Samsung Galaxy S24 Ultra
Geekbench AI Score
2897
Single Precision Score
2898
Half Precision Score
4515
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 06:18 AM |
| Views | 5 |
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-S928U1 |
| 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% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.7 IPS |
|
|
Image Classification (Q)
|
100% |
3878
721.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4664
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
10236
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2267
180.4 IPS |
|
|
Object Detection (HP)
|
98% |
2324
184.9 IPS |
|
|
Object Detection (Q)
|
83% |
3539
285.9 IPS |
|
|
Face Detection (SP)
|
100% |
4487
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (Q)
|
95% |
7583
90.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4317
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4037
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6846
62.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10606
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10550
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20783
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5017
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1224
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (Q)
|
50% |
847
30.1 IPS |
