Samsung Galaxy S24 Ultra
Geekbench AI Score
456
Single Precision Score
16150
Half Precision Score
38846
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 07:10 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
17322
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
41037
7.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
10764
174.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29166
474.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
99883
116.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
399179
467.2 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
16081
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19204
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
35163
417.8 IPS |
|
|
Face Detection (Q)
|
97% |
124219
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
61015
470.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
114272
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
928
1.19 IPS |
|
|
Style Transfer (HP)
|
24% |
3860
116.8 IPS |
|
|
Style Transfer (Q)
|
98% |
306265
394.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44391
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104905
3.89 KIPS |
|
|
Text Classification (SP)
|
100% |
404
539.6 IPS |
|
|
Text Classification (HP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6727
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
30% |
278
55.8 IPS |
