Samsung Galaxy S24 Ultra
Geekbench AI Score
1123
Single Precision Score
1783
Half Precision Score
1674
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Otterkaos |
| Upload Date | January 26 2025 01:44 AM |
| Views | 5 |
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-S928W |
| 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% |
942
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.5 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1194
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2131
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.5 IPS |
|
|
Object Detection (Q)
|
87% |
812
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (Q)
|
97% |
2949
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1797
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3804
29.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3207
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6861
8.82 IPS |
|
|
Style Transfer (HP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
10684
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1337
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.2 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (Q)
|
91% |
717
963.5 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
572
14.0 IPS |
