Samsung Galaxy S24 Ultra
Geekbench AI Score
2406
Single Precision Score
2384
Half Precision Score
3438
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 03:34 AM |
| Views | 2 |
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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (Q)
|
100% |
3381
628.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4071
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4093
4.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
7831
9.29 IPS |
|
|
Object Detection (SP)
|
98% |
1697
135.0 IPS |
|
|
Object Detection (HP)
|
98% |
1722
137.0 IPS |
|
|
Object Detection (Q)
|
83% |
2181
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
5293
63.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3300
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3447
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5552
50.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8394
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8318
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15650
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3712
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.3 IPS |
|
|
Text Classification (HP)
|
99% |
681
909.4 IPS |
|
|
Text Classification (Q)
|
88% |
1002
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
