Samsung Galaxy S24 Ultra
Geekbench AI Score
1020
Single Precision Score
1549
Half Precision Score
1603
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
386
71.7 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
96% |
560
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1649
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2283
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
87% |
838
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
2871
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1907
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3977
30.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3326
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7399
9.51 IPS |
|
|
Style Transfer (HP)
|
100% |
11893
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11260
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1346
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.8 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.7 IPS |
|
|
Text Classification (Q)
|
91% |
739
992.9 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
594
14.5 IPS |
