Samsung Galaxy S24 Ultra
Geekbench AI Score
1040
Single Precision Score
1562
Half Precision Score
1478
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 11:56 PM |
| Views | 3 |
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-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% |
771
143.4 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
96% |
648
121.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1495
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1964
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
868
68.8 IPS |
|
|
Object Detection (Q)
|
87% |
883
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (Q)
|
97% |
3003
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1525
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3243
25.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2568
23.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5364
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8792
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8240
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1152
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.5 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.4 IPS |
|
|
Text Classification (Q)
|
91% |
716
962.2 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
565
13.8 IPS |
