Samsung Galaxy S24 Ultra
Geekbench AI Score
2486
Single Precision Score
2466
Half Precision Score
3607
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mihun70 |
| Upload Date | January 19 2025 09:13 AM |
| Views | 2 |
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% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
100% |
3408
633.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2636
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4199
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4204
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3664
4.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
7945
9.42 IPS |
|
|
Object Detection (SP)
|
98% |
1762
140.2 IPS |
|
|
Object Detection (HP)
|
98% |
1761
140.1 IPS |
|
|
Object Detection (Q)
|
83% |
2471
199.6 IPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5230
62.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3505
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3504
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5515
50.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8399
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8430
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15719
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4018
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.8 IPS |
|
|
Text Classification (HP)
|
99% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1044
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
699
24.8 IPS |
