Samsung Galaxy S24 Ultra
Geekbench AI Score
993
Single Precision Score
1638
Half Precision Score
1467
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 09:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
745
138.5 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.1 IPS |
|
|
Image Classification (Q)
|
96% |
1243
232.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2054
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2659
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
100% |
926
73.4 IPS |
|
|
Object Detection (Q)
|
87% |
1049
84.2 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (Q)
|
97% |
3792
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1906
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3880
30.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2844
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4992
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
8110
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7039
9.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
519
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.2 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.6 IPS |
|
|
Text Classification (Q)
|
91% |
454
610.8 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
57% |
363
8.87 IPS |
