Samsung Galaxy S24 Ultra
Geekbench AI Score
1009
Single Precision Score
1490
Half Precision Score
1453
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | December 10 2024 12:14 AM |
| Views | 2 |
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% |
630
117.2 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
96% |
646
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1059
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1952
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
100% |
853
67.6 IPS |
|
|
Object Detection (Q)
|
87% |
726
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
2714
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1692
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3426
26.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2845
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6134
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
10026
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9890
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1312
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.5 IPS |
|
|
Text Classification (Q)
|
91% |
733
985.0 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
590
14.4 IPS |
