Samsung Galaxy S24 Ultra
Geekbench AI Score
2193
Single Precision Score
2195
Half Precision Score
3234
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 01:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
1674
311.4 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.8 IPS |
|
|
Image Classification (Q)
|
100% |
2839
527.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3330
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
6803
8.07 IPS |
|
|
Object Detection (SP)
|
98% |
1472
117.1 IPS |
|
|
Object Detection (HP)
|
98% |
1657
131.8 IPS |
|
|
Object Detection (Q)
|
83% |
2124
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
5137
61.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3368
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3240
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4574
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8050
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8206
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15294
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3753
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.9 IPS |
|
|
Text Classification (HP)
|
99% |
657
876.4 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
