Samsung Galaxy S24 Ultra
Geekbench AI Score
455
Single Precision Score
450
Half Precision Score
997
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jkovacs87 |
| Upload Date | March 15 2025 02:24 PM |
| Views | 15 |
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-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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (Q)
|
99% |
796
148.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1987
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
87% |
808
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
688
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
1414
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1165
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
842
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
788
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2019
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.1 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.0 IPS |
|
|
Text Classification (Q)
|
91% |
600
806.8 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
488
11.9 IPS |
