Samsung Galaxy S24 Ultra
Geekbench AI Score
558
Single Precision Score
934
Half Precision Score
883
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | jedudvs |
| Upload Date | September 21 2024 10:28 PM |
| Views | 4 |
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% |
356
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
96% |
556
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1206
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1061
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
87% |
445
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
2084
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1874
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
795
6.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
1563
12.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1256
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2766
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
4408
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4420
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
668
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.0 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.50 IPS |
