Samsung Galaxy S24 Ultra
Geekbench AI Score
2148
Single Precision Score
2098
Half Precision Score
3127
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 10:58 PM |
| Views | 9 |
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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.5 IPS |
|
|
Image Classification (Q)
|
100% |
3787
704.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2661
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4214
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4212
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3262
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
6105
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (HP)
|
98% |
1371
109.1 IPS |
|
|
Object Detection (Q)
|
87% |
1947
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4274
51.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
2705
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2822
21.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
5501
44.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6758
8.77 IPS |
|
|
Style Transfer (HP)
|
89% |
6711
8.71 IPS |
|
|
Style Transfer (Q)
|
98% |
12262
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3100
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
583
777.8 IPS |
|
|
Text Classification (HP)
|
99% |
571
761.9 IPS |
|
|
Text Classification (Q)
|
88% |
874
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
605
21.5 IPS |
