Samsung Galaxy S24 Ultra
Geekbench AI Score
1102
Single Precision Score
1601
Half Precision Score
1542
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gundamf90 |
| Upload Date | August 18 2024 02:03 PM |
| 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-S9280 |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
917
170.5 IPS |
|
|
Image Classification (Q)
|
99% |
731
136.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1567
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2098
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
89% |
777
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
2255
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1821
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3966
30.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
3698
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7341
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
11356
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10649
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1124
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
438
585.2 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.2 IPS |
|
|
Text Classification (Q)
|
91% |
719
967.0 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
570
13.9 IPS |
