Samsung Galaxy S24 Ultra
Geekbench AI Score
2303
Single Precision Score
2258
Half Precision Score
3321
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 03 2024 09:35 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1875
348.7 IPS |
|
|
Image Classification (HP)
|
100% |
1848
343.7 IPS |
|
|
Image Classification (Q)
|
100% |
1983
368.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4407
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4166
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3825
4.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
8369
9.93 IPS |
|
|
Object Detection (SP)
|
98% |
1783
141.9 IPS |
|
|
Object Detection (HP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
83% |
2334
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (Q)
|
95% |
5439
64.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3398
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3167
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5409
49.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7743
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7542
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
14593
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3713
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.2 IPS |
|
|
Text Classification (HP)
|
99% |
696
929.2 IPS |
|
|
Text Classification (Q)
|
88% |
984
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
610
21.7 IPS |
