Samsung Galaxy S24 Ultra
Geekbench AI Score
422
Single Precision Score
418
Half Precision Score
894
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 08:59 PM |
| Views | 4 |
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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (Q)
|
99% |
819
152.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
804
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
1645
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
87% |
656
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.34 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (Q)
|
97% |
1304
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1062
9.63 IPS |
|
|
Style Transfer (SP)
|
100% |
783
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
742
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1912
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
253
9.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
818
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.4 IPS |
|
|
Text Classification (HP)
|
100% |
311
414.4 IPS |
|
|
Text Classification (Q)
|
91% |
528
710.0 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
57% |
403
9.85 IPS |
