Samsung Galaxy S24 Ultra
Geekbench AI Score
2626
Single Precision Score
2604
Half Precision Score
4056
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Arkan14 |
| Upload Date | October 03 2024 10:47 PM |
| 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-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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (Q)
|
100% |
3561
662.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2613
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2640
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4049
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4519
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
10176
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2192
174.5 IPS |
|
|
Object Detection (HP)
|
98% |
2265
180.2 IPS |
|
|
Object Detection (Q)
|
83% |
3515
283.9 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
5428
64.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3107
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5480
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9063
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9017
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18666
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4180
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
717
957.1 IPS |
|
|
Text Classification (Q)
|
88% |
1178
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
856
30.4 IPS |
