Samsung Galaxy S24 Ultra
Geekbench AI Score
2329
Single Precision Score
2265
Half Precision Score
3448
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | car_fer00 |
| Upload Date | January 12 2025 01:15 AM |
| Views | 6 |
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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.4 IPS |
|
|
Image Classification (Q)
|
100% |
3836
713.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4216
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
7426
8.81 IPS |
|
|
Object Detection (SP)
|
98% |
1547
123.1 IPS |
|
|
Object Detection (HP)
|
98% |
1373
109.2 IPS |
|
|
Object Detection (Q)
|
83% |
2055
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5125
61.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3234
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3380
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5279
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7776
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8001
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15119
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3718
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.0 IPS |
|
|
Text Classification (HP)
|
99% |
693
925.4 IPS |
|
|
Text Classification (Q)
|
88% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
668
23.7 IPS |
