Samsung Galaxy S24 Ultra
Geekbench AI Score
2687
Single Precision Score
2670
Half Precision Score
4132
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jkovacs87 |
| Upload Date | January 29 2025 08:34 AM |
| Views | 11 |
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-S928U |
| 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% |
2496
464.1 IPS |
|
|
Image Classification (HP)
|
100% |
2316
430.8 IPS |
|
|
Image Classification (Q)
|
100% |
3458
643.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2679
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4419
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4315
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4145
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9641
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2184
173.8 IPS |
|
|
Object Detection (HP)
|
98% |
2024
161.0 IPS |
|
|
Object Detection (Q)
|
83% |
3309
267.3 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (Q)
|
95% |
7007
83.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3920
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3833
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6772
62.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9317
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9316
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16909
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4257
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
820
29.1 IPS |
