Samsung Galaxy S24 Ultra
Geekbench AI Score
1098
Single Precision Score
1677
Half Precision Score
1657
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 05:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
96% |
1119
208.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2295
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (HP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (Q)
|
87% |
984
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (Q)
|
97% |
3191
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1701
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3537
27.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2957
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6196
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
10133
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10064
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.8 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.4 IPS |
|
|
Text Classification (Q)
|
91% |
725
973.9 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
577
14.1 IPS |
