Samsung Galaxy S24 Ultra
Geekbench AI Score
1150
Single Precision Score
1802
Half Precision Score
1601
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928B |
| 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% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
96% |
653
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2484
2.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
2448
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (Q)
|
87% |
991
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
2840
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4168
49.5 IPS |
|
|
Face Detection (Q)
|
97% |
2954
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1915
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4043
31.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3348
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6624
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
10922
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10849
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1364
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.5 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.1 IPS |
|
|
Text Classification (Q)
|
91% |
736
988.8 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
600
14.7 IPS |
