Samsung Galaxy S24 Ultra
Geekbench AI Score
2747
Single Precision Score
2766
Half Precision Score
4098
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 09:30 AM |
| Views | 2 |
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% |
2450
455.6 IPS |
|
|
Image Classification (HP)
|
100% |
2472
459.6 IPS |
|
|
Image Classification (Q)
|
100% |
3450
641.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4203
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
9956
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1898
151.0 IPS |
|
|
Object Detection (HP)
|
98% |
2167
172.5 IPS |
|
|
Object Detection (Q)
|
83% |
2800
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (Q)
|
95% |
5820
69.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3738
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3736
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6159
56.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10231
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10260
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20149
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2076
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4807
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1186
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
803
28.5 IPS |
