Samsung Galaxy S24 Ultra
Geekbench AI Score
2572
Single Precision Score
2527
Half Precision Score
3728
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 04:27 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-S928U1 |
| 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% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
2454
456.4 IPS |
|
|
Image Classification (Q)
|
100% |
3163
588.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4318
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3606
4.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
8394
9.96 IPS |
|
|
Object Detection (SP)
|
98% |
1786
142.1 IPS |
|
|
Object Detection (HP)
|
98% |
1785
142.0 IPS |
|
|
Object Detection (Q)
|
83% |
2352
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
5677
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3445
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3737
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5954
54.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9013
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8781
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16829
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4210
156.0 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1079
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
745
26.4 IPS |
