Samsung Galaxy S24 Ultra
Geekbench AI Score
1042
Single Precision Score
1560
Half Precision Score
1480
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:40 PM |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
705
131.2 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (Q)
|
96% |
667
124.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2139
2.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
2010
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
87% |
801
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
2217
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
2851
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1692
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3670
28.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3032
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6603
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10802
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9917
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
421
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.2 IPS |
|
|
Text Classification (HP)
|
100% |
421
562.2 IPS |
|
|
Text Classification (Q)
|
91% |
659
885.3 IPS |
|
|
Machine Translation (SP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
464
11.3 IPS |
