Samsung Galaxy S24 Ultra
Geekbench AI Score
1111
Single Precision Score
1649
Half Precision Score
1628
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 06:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
96% |
956
178.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2747
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2746
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.5 IPS |
|
|
Object Detection (HP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (Q)
|
87% |
764
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2310
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3269
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7371
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
11873
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11685
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1340
49.7 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.4 IPS |
|
|
Text Classification (Q)
|
91% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
603
14.7 IPS |
