Samsung Galaxy S24 Ultra
Geekbench AI Score
1035
Single Precision Score
1537
Half Precision Score
1431
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:27 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% |
778
144.6 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2137
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (Q)
|
87% |
833
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
97% |
3014
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1617
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3227
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2825
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6076
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
9934
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9800
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1322
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.1 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.2 IPS |
|
|
Text Classification (Q)
|
91% |
561
754.0 IPS |
|
|
Machine Translation (SP)
|
100% |
552
9.50 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
57% |
462
11.3 IPS |
