Samsung Galaxy S24 Ultra
Geekbench AI Score
2746
Single Precision Score
2709
Half Precision Score
3563
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 09:56 PM |
| Views | 4 |
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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (Q)
|
100% |
2055
382.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4198
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4536
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
10247
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
2214
176.2 IPS |
|
|
Object Detection (HP)
|
98% |
1742
138.6 IPS |
|
|
Object Detection (Q)
|
83% |
2461
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5253
62.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3830
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6711
61.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10007
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10593
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20737
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2222
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5206
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
476
642.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (Q)
|
50% |
839
29.8 IPS |
