Samsung Galaxy S24 Ultra
Geekbench AI Score
2364
Single Precision Score
2343
Half Precision Score
3458
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2444
454.4 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.8 IPS |
|
|
Image Classification (Q)
|
100% |
3323
617.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4141
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4274
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3444
4.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
7826
9.28 IPS |
|
|
Object Detection (SP)
|
98% |
1523
121.2 IPS |
|
|
Object Detection (HP)
|
98% |
1511
120.3 IPS |
|
|
Object Detection (Q)
|
83% |
2196
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5390
64.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3262
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3189
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5180
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7868
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7914
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15106
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3786
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
675
900.7 IPS |
|
|
Text Classification (HP)
|
99% |
722
964.2 IPS |
|
|
Text Classification (Q)
|
88% |
983
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
