Samsung Galaxy S24 Ultra
Geekbench AI Score
2654
Single Precision Score
2714
Half Precision Score
4204
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 05:36 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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.7 IPS |
|
|
Image Classification (Q)
|
100% |
3524
655.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4457
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4498
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4341
5.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
10050
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
2173
172.9 IPS |
|
|
Object Detection (HP)
|
98% |
2190
174.3 IPS |
|
|
Object Detection (Q)
|
83% |
3468
280.2 IPS |
|
|
Face Detection (SP)
|
100% |
4310
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (Q)
|
95% |
7456
89.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3414
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3439
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5755
52.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8778
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9427
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18529
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4223
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
883
31.4 IPS |
