Samsung Galaxy S24 Ultra
Geekbench AI Score
1254
Single Precision Score
2068
Half Precision Score
1887
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | September 15 2024 04:37 AM |
| Views | 3 |
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-S928N |
| 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% |
981
182.5 IPS |
|
|
Image Classification (HP)
|
100% |
1644
305.7 IPS |
|
|
Image Classification (Q)
|
96% |
1201
224.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2031
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
2728
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (Q)
|
87% |
1013
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
2840
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (Q)
|
97% |
2634
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1942
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3317
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7406
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
12073
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11879
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1684
62.4 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.1 IPS |
|
|
Text Classification (HP)
|
100% |
486
648.8 IPS |
|
|
Text Classification (Q)
|
91% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
57% |
626
15.3 IPS |
