Samsung Galaxy S24 Ultra
Geekbench AI Score
2335
Single Precision Score
2335
Half Precision Score
3470
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | September 23 2024 07:37 PM |
| Views | 3 |
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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2387
444.0 IPS |
|
|
Image Classification (HP)
|
100% |
2371
441.0 IPS |
|
|
Image Classification (Q)
|
100% |
3343
621.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3716
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
7494
8.89 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.4 IPS |
|
|
Object Detection (HP)
|
98% |
1509
120.0 IPS |
|
|
Object Detection (Q)
|
83% |
2210
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
5211
62.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3420
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3448
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5465
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8244
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8059
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14921
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3816
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
665
888.2 IPS |
|
|
Text Classification (HP)
|
99% |
701
935.7 IPS |
|
|
Text Classification (Q)
|
88% |
1061
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1570
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
716
25.4 IPS |
