Samsung Galaxy S24 Ultra
Geekbench AI Score
3015
Single Precision Score
3067
Half Precision Score
4494
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | September 15 2024 04:39 AM |
| Views | 4 |
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-S928N |
| 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% |
2416
449.3 IPS |
|
|
Image Classification (HP)
|
100% |
2472
459.6 IPS |
|
|
Image Classification (Q)
|
100% |
2031
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4397
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4774
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4612
5.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
10630
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
2299
183.0 IPS |
|
|
Object Detection (HP)
|
98% |
2316
184.3 IPS |
|
|
Object Detection (Q)
|
83% |
3223
260.4 IPS |
|
|
Face Detection (SP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4532
53.9 IPS |
|
|
Face Detection (Q)
|
95% |
7707
92.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4132
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4214
32.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7481
68.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11170
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11134
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21124
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5363
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
1075
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1082
1.44 KIPS |
|
|
Text Classification (Q)
|
88% |
1696
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
50% |
992
35.2 IPS |
