Samsung Galaxy S24 Ultra
Geekbench AI Score
466
Single Precision Score
16124
Half Precision Score
39236
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 01:06 PM |
| Views | 1 |
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% |
300
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
17506
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
41367
7.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
10762
174.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29148
474.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
96309
112.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
398052
465.9 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
16141
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19301
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
676
8.04 IPS |
|
|
Face Detection (HP)
|
100% |
35487
421.7 IPS |
|
|
Face Detection (Q)
|
97% |
126391
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
596
4.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
60886
469.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
114323
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
954
1.23 IPS |
|
|
Style Transfer (HP)
|
24% |
3857
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
306031
394.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44326
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
113451
4.20 KIPS |
|
|
Text Classification (SP)
|
100% |
399
532.9 IPS |
|
|
Text Classification (HP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6717
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (Q)
|
30% |
277
55.6 IPS |
