Samsung Galaxy S24 Ultra
Geekbench AI Score
1990
Single Precision Score
2153
Half Precision Score
3169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 06 2024 06:39 PM |
| Views | 5 |
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% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
1827
339.8 IPS |
|
|
Image Classification (Q)
|
100% |
2610
485.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3025
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2757
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
7855
9.32 IPS |
|
|
Object Detection (SP)
|
98% |
1572
125.1 IPS |
|
|
Object Detection (HP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (Q)
|
83% |
2312
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5102
60.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2806
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3066
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4064
37.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7890
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7814
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13971
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3764
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.7 IPS |
|
|
Text Classification (HP)
|
99% |
690
920.6 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
678
24.1 IPS |
