Samsung Galaxy S24 Ultra
Geekbench AI Score
490
Single Precision Score
484
Half Precision Score
1093
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
315
58.5 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
99% |
815
152.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
811
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
1991
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
87% |
832
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.48 IPS |
|
|
Face Detection (Q)
|
97% |
1731
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
640
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1506
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1023
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2425
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
329
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.9 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.5 IPS |
|
|
Text Classification (Q)
|
91% |
633
851.3 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
524
12.8 IPS |
