Samsung Galaxy S24 Ultra
Geekbench AI Score
1023
Single Precision Score
1491
Half Precision Score
1552
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:26 AM |
| 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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
96% |
749
139.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1705
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
2261
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
87% |
683
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
2352
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1764
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3687
28.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3047
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6144
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
9986
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9914
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1327
49.2 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.9 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.1 IPS |
|
|
Text Classification (Q)
|
91% |
740
994.3 IPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
592
14.5 IPS |
