Samsung Galaxy S24 Ultra
Geekbench AI Score
2178
Single Precision Score
2120
Half Precision Score
3295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 07:43 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% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
1540
286.5 IPS |
|
|
Image Classification (Q)
|
100% |
2481
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3615
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3413
3.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
7932
9.41 IPS |
|
|
Object Detection (SP)
|
98% |
1599
127.3 IPS |
|
|
Object Detection (HP)
|
98% |
1446
115.1 IPS |
|
|
Object Detection (Q)
|
83% |
2292
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
5040
60.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2893
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3059
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5141
47.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7884
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7836
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15102
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3742
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
686
916.0 IPS |
|
|
Text Classification (HP)
|
99% |
686
915.2 IPS |
|
|
Text Classification (Q)
|
88% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
605
21.5 IPS |
