Samsung Galaxy S24 Ultra
Geekbench AI Score
2858
Single Precision Score
2845
Half Precision Score
4169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 05:42 AM |
| 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-S928U1 |
| 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% |
2482
461.6 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.8 IPS |
|
|
Image Classification (Q)
|
100% |
3894
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4456
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4477
5.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
10201
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2074
165.1 IPS |
|
|
Object Detection (HP)
|
98% |
2237
178.0 IPS |
|
|
Object Detection (Q)
|
83% |
3048
246.2 IPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
6591
78.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4103
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4083
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6974
63.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10511
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10613
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18908
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4307
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
733
978.6 IPS |
|
|
Text Classification (Q)
|
88% |
1110
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (Q)
|
50% |
708
25.1 IPS |
