Samsung Galaxy S24 Ultra
Geekbench AI Score
2825
Single Precision Score
2812
Half Precision Score
4275
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:41 AM |
| Views | 3 |
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-S928W |
| 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% |
2450
455.7 IPS |
|
|
Image Classification (HP)
|
100% |
2465
458.5 IPS |
|
|
Image Classification (Q)
|
100% |
2121
394.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4255
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4396
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
9646
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2213
176.1 IPS |
|
|
Object Detection (HP)
|
98% |
1820
144.8 IPS |
|
|
Object Detection (Q)
|
87% |
3036
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (Q)
|
95% |
7824
93.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
4033
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4013
31.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
8234
66.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10602
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10551
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20328
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4036
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1416
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1032
36.6 IPS |
