Samsung Galaxy S24 Ultra
Geekbench AI Score
2773
Single Precision Score
2859
Half Precision Score
4547
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 12:32 PM |
| Views | 1 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (Q)
|
100% |
3283
610.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4361
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4204
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4149
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9918
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2145
170.7 IPS |
|
|
Object Detection (HP)
|
98% |
2222
176.8 IPS |
|
|
Object Detection (Q)
|
83% |
3476
280.8 IPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4139
49.2 IPS |
|
|
Face Detection (Q)
|
95% |
7406
88.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4178
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4325
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7220
66.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9389
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9791
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19222
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5457
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1061
1.42 KIPS |
|
|
Text Classification (Q)
|
88% |
1464
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
934
33.2 IPS |
