Samsung Galaxy S24 Ultra
Geekbench AI Score
1931
Single Precision Score
1986
Half Precision Score
2798
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:35 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (Q)
|
100% |
3158
587.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3901
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4017
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3863
4.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
6461
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1207
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1186
94.3 IPS |
|
|
Object Detection (Q)
|
83% |
1541
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (Q)
|
95% |
3724
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2584
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2640
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4265
39.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6658
8.64 IPS |
|
|
Style Transfer (HP)
|
89% |
6412
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
11723
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2915
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
543
724.4 IPS |
|
|
Text Classification (HP)
|
99% |
543
724.4 IPS |
|
|
Text Classification (Q)
|
88% |
761
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
581
20.6 IPS |
