Samsung Galaxy S24 Ultra
Geekbench AI Score
2512
Single Precision Score
2615
Half Precision Score
3738
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:22 AM |
| Views | 1 |
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-S928U1 |
| 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% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
2492
463.5 IPS |
|
|
Image Classification (Q)
|
100% |
2711
504.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4395
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4324
5.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
9749
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1735
138.1 IPS |
|
|
Object Detection (HP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (Q)
|
83% |
2276
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (Q)
|
95% |
5684
67.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3946
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3945
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6133
56.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9507
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9516
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16595
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4135
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.8 IPS |
|
|
Text Classification (HP)
|
99% |
730
974.9 IPS |
|
|
Text Classification (Q)
|
88% |
1096
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
769
27.3 IPS |
