Samsung Galaxy S24 Ultra
Geekbench AI Score
2357
Single Precision Score
2341
Half Precision Score
3706
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | malasa |
| Upload Date | August 16 2024 01:30 PM |
| Views | 12 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2230
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.7 IPS |
|
|
Image Classification (Q)
|
100% |
3494
649.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3980
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4371
5.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
9879
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1666
132.6 IPS |
|
|
Object Detection (HP)
|
98% |
1734
138.0 IPS |
|
|
Object Detection (Q)
|
87% |
2278
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (Q)
|
95% |
5430
64.8 IPS |
|
|
Depth Estimation (SP)
|
98% |
3552
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3481
26.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
6238
50.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8450
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8417
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15796
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3809
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.7 IPS |
|
|
Text Classification (HP)
|
99% |
667
890.2 IPS |
|
|
Text Classification (Q)
|
88% |
1030
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
745
26.4 IPS |
