Samsung Galaxy S24 Ultra
Geekbench AI Score
2539
Single Precision Score
2463
Half Precision Score
3630
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 09:52 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% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (Q)
|
100% |
2889
537.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4043
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
8430
10.00 IPS |
|
|
Object Detection (SP)
|
98% |
1776
141.3 IPS |
|
|
Object Detection (HP)
|
98% |
1754
139.5 IPS |
|
|
Object Detection (Q)
|
83% |
2329
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3438
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5700
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3520
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3617
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5684
52.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8798
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8762
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16647
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4251
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
721
962.6 IPS |
|
|
Text Classification (Q)
|
88% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
712
25.3 IPS |
