Samsung Galaxy S24 Ultra
Geekbench AI Score
1095
Single Precision Score
1561
Half Precision Score
1539
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 08 2025 11:02 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% |
436
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
96% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1069
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2738
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
87% |
743
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
2331
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1915
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3947
30.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3288
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7380
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
11847
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11791
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1360
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.4 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.6 IPS |
|
|
Text Classification (Q)
|
91% |
762
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
615
15.0 IPS |
