Samsung Galaxy S24 Ultra
Geekbench AI Score
2325
Single Precision Score
2333
Half Precision Score
3508
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | DrCereus |
| Upload Date | August 30 2024 08:54 PM |
| Views | 4 |
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% |
1998
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
2445
454.7 IPS |
|
|
Image Classification (Q)
|
100% |
3504
651.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2625
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4406
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4180
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3400
3.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
7512
8.91 IPS |
|
|
Object Detection (SP)
|
98% |
1671
133.0 IPS |
|
|
Object Detection (HP)
|
98% |
1644
130.8 IPS |
|
|
Object Detection (Q)
|
87% |
2039
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
5129
61.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
3253
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3338
25.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
5889
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8025
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8035
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15028
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3794
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.7 IPS |
|
|
Text Classification (HP)
|
99% |
637
850.1 IPS |
|
|
Text Classification (Q)
|
88% |
934
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
743
26.4 IPS |
