Samsung Galaxy S24 Ultra
Geekbench AI Score
2334
Single Precision Score
2330
Half Precision Score
3479
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 08:25 PM |
| Views | 2 |
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% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
1976
367.4 IPS |
|
|
Image Classification (Q)
|
100% |
3044
566.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4115
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3333
3.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
7527
8.93 IPS |
|
|
Object Detection (SP)
|
98% |
1697
135.1 IPS |
|
|
Object Detection (HP)
|
98% |
1685
134.1 IPS |
|
|
Object Detection (Q)
|
83% |
2166
175.0 IPS |
|
|
Face Detection (SP)
|
100% |
3312
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
5158
61.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3361
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3431
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5138
47.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8086
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8105
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14239
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3791
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
675
900.4 IPS |
|
|
Text Classification (HP)
|
99% |
674
900.2 IPS |
|
|
Text Classification (Q)
|
88% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (Q)
|
50% |
772
27.4 IPS |
