Samsung Galaxy S24 Ultra
Geekbench AI Score
2417
Single Precision Score
2464
Half Precision Score
3646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 07:36 PM |
| Views | 1 |
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-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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
2435
452.8 IPS |
|
|
Image Classification (Q)
|
100% |
3391
630.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4365
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4389
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4102
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
8413
9.98 IPS |
|
|
Object Detection (SP)
|
98% |
1804
143.6 IPS |
|
|
Object Detection (HP)
|
98% |
1795
142.8 IPS |
|
|
Object Detection (Q)
|
83% |
2591
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (Q)
|
95% |
5675
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3281
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3201
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5315
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8414
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8741
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16859
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3646
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
707
943.5 IPS |
|
|
Text Classification (HP)
|
99% |
705
941.4 IPS |
|
|
Text Classification (Q)
|
88% |
997
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.8 IPS |
