Samsung Galaxy S24 Ultra
Geekbench AI Score
423
Single Precision Score
407
Half Precision Score
898
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 01:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (Q)
|
99% |
786
146.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
407
0.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
1560
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
87% |
620
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (Q)
|
97% |
1209
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
484
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
455
3.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1018
9.23 IPS |
|
|
Style Transfer (SP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1989
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
939
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.6 IPS |
|
|
Text Classification (HP)
|
100% |
345
461.0 IPS |
|
|
Text Classification (Q)
|
91% |
560
752.3 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.88 IPS |
|
|
Machine Translation (Q)
|
57% |
447
10.9 IPS |
