Samsung Galaxy S24 Ultra
Geekbench AI Score
387
Single Precision Score
21680
Half Precision Score
49350
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | December 10 2024 12:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
18025
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
40430
7.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
10740
174.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
30973
503.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
99282
115.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
396055
463.6 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
15339
1.22 KIPS |
|
|
Object Detection (Q)
|
86% |
19377
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
32479
385.9 IPS |
|
|
Face Detection (Q)
|
97% |
110055
1.31 KIPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
61442
473.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
108387
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (HP)
|
98% |
85315
110.0 IPS |
|
|
Style Transfer (Q)
|
98% |
421037
542.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43829
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104014
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
322
429.6 IPS |
|
|
Text Classification (HP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6879
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2481
65.0 IPS |
