Samsung Galaxy S24 Ultra
Geekbench AI Score
2470
Single Precision Score
2524
Half Precision Score
3796
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 11:52 PM |
| 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-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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
2448
455.2 IPS |
|
|
Image Classification (Q)
|
100% |
3558
661.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4361
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4382
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4194
4.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
9676
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (HP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
83% |
2284
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (Q)
|
95% |
5692
68.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3442
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3460
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5649
51.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8780
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8804
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16676
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4251
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1066
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
746
26.5 IPS |
